{smcl}
{com}{sf}{ul off}{txt}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}/Users/amjeannet/dropbox/My Work in Progress I/ATIAS/retirement discontinuity/Research & Politics Submission/RR1/log_RRI.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res}25 Apr 2018, 21:29:23

{com}. ***********************

. *********OLS***********

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. regress imbgeco rtrd eduyrs agea agesquared hinctnta ever_child lrscale brncntr i.country i.iscoco10 i.rural i.married, robust 

{txt}Linear regression                               Number of obs     = {res}     3,616
                                                {txt}F(31, 3584)       =  {res}    23.66
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1623
                                                {txt}Root MSE          =    {res} 2.1932

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     imbgeco{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}rtrd {c |}{col 14}{res}{space 2}-.0856695{col 26}{space 2} .1208793{col 37}{space 1}   -0.71{col 46}{space 3}0.479{col 54}{space 4}-.3226687{col 67}{space 3} .1513296
{txt}{space 6}eduyrs {c |}{col 14}{res}{space 2} .0742222{col 26}{space 2} .0114533{col 37}{space 1}    6.48{col 46}{space 3}0.000{col 54}{space 4} .0517666{col 67}{space 3} .0966779
{txt}{space 8}agea {c |}{col 14}{res}{space 2} .3097053{col 26}{space 2} .1540532{col 37}{space 1}    2.01{col 46}{space 3}0.044{col 54}{space 4} .0076646{col 67}{space 3}  .611746
{txt}{space 2}agesquared {c |}{col 14}{res}{space 2}-.0024876{col 26}{space 2} .0013113{col 37}{space 1}   -1.90{col 46}{space 3}0.058{col 54}{space 4}-.0050585{col 67}{space 3} .0000833
{txt}{space 4}hinctnta {c |}{col 14}{res}{space 2} .0716264{col 26}{space 2} .0179518{col 37}{space 1}    3.99{col 46}{space 3}0.000{col 54}{space 4} .0364296{col 67}{space 3} .1068232
{txt}{space 2}ever_child {c |}{col 14}{res}{space 2}-.0775405{col 26}{space 2} .0996729{col 37}{space 1}   -0.78{col 46}{space 3}0.437{col 54}{space 4}-.2729617{col 67}{space 3} .1178808
{txt}{space 5}lrscale {c |}{col 14}{res}{space 2}-.1351727{col 26}{space 2} .0195325{col 37}{space 1}   -6.92{col 46}{space 3}0.000{col 54}{space 4}-.1734686{col 67}{space 3}-.0968768
{txt}{space 5}brncntr {c |}{col 14}{res}{space 2} .6741993{col 26}{space 2} .1509285{col 37}{space 1}    4.47{col 46}{space 3}0.000{col 54}{space 4} .3782849{col 67}{space 3} .9701138
{txt}{space 12} {c |}
{space 5}country {c |}
{space 9}BE  {c |}{col 14}{res}{space 2}-.4312909{col 26}{space 2}  .225239{col 37}{space 1}   -1.91{col 46}{space 3}0.056{col 54}{space 4}-.8729003{col 67}{space 3} .0103185
{txt}{space 9}CH  {c |}{col 14}{res}{space 2} 1.255888{col 26}{space 2} .2226644{col 37}{space 1}    5.64{col 46}{space 3}0.000{col 54}{space 4} .8193264{col 67}{space 3}  1.69245
{txt}{space 9}DE  {c |}{col 14}{res}{space 2} .7502589{col 26}{space 2} .2005403{col 37}{space 1}    3.74{col 46}{space 3}0.000{col 54}{space 4} .3570744{col 67}{space 3} 1.143443
{txt}{space 9}DK  {c |}{col 14}{res}{space 2} .2072983{col 26}{space 2} .2353427{col 37}{space 1}    0.88{col 46}{space 3}0.378{col 54}{space 4}-.2541207{col 67}{space 3} .6687173
{txt}{space 9}ES  {c |}{col 14}{res}{space 2} .7493926{col 26}{space 2} .2453225{col 37}{space 1}    3.05{col 46}{space 3}0.002{col 54}{space 4}  .268407{col 67}{space 3} 1.230378
{txt}{space 9}FI  {c |}{col 14}{res}{space 2} .5570565{col 26}{space 2} .2115014{col 37}{space 1}    2.63{col 46}{space 3}0.008{col 54}{space 4} .1423813{col 67}{space 3} .9717317
{txt}{space 9}FR  {c |}{col 14}{res}{space 2}-.1874992{col 26}{space 2}  .222266{col 37}{space 1}   -0.84{col 46}{space 3}0.399{col 54}{space 4}-.6232796{col 67}{space 3} .2482813
{txt}{space 9}GB  {c |}{col 14}{res}{space 2}  -.22526{col 26}{space 2} .2244125{col 37}{space 1}   -1.00{col 46}{space 3}0.316{col 54}{space 4}-.6652491{col 67}{space 3} .2147291
{txt}{space 9}IE  {c |}{col 14}{res}{space 2} .1454075{col 26}{space 2} .2383112{col 37}{space 1}    0.61{col 46}{space 3}0.542{col 54}{space 4}-.3218318{col 67}{space 3} .6126467
{txt}{space 9}NL  {c |}{col 14}{res}{space 2}-.1226701{col 26}{space 2}  .210874{col 37}{space 1}   -0.58{col 46}{space 3}0.561{col 54}{space 4}-.5361152{col 67}{space 3}  .290775
{txt}{space 9}NO  {c |}{col 14}{res}{space 2} .6628415{col 26}{space 2} .2178045{col 37}{space 1}    3.04{col 46}{space 3}0.002{col 54}{space 4} .2358083{col 67}{space 3} 1.089875
{txt}{space 9}PT  {c |}{col 14}{res}{space 2} .6289753{col 26}{space 2} .2892856{col 37}{space 1}    2.17{col 46}{space 3}0.030{col 54}{space 4} .0617945{col 67}{space 3} 1.196156
{txt}{space 9}SE  {c |}{col 14}{res}{space 2} .2356468{col 26}{space 2} .2297235{col 37}{space 1}    1.03{col 46}{space 3}0.305{col 54}{space 4}-.2147552{col 67}{space 3} .6860487
{txt}{space 12} {c |}
{space 4}iscoco10 {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0708977{col 26}{space 2} .1253935{col 37}{space 1}   -0.57{col 46}{space 3}0.572{col 54}{space 4}-.3167475{col 67}{space 3} .1749521
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.2961476{col 26}{space 2} .1296813{col 37}{space 1}   -2.28{col 46}{space 3}0.022{col 54}{space 4} -.550404{col 67}{space 3}-.0418911
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.4708998{col 26}{space 2} .1895182{col 37}{space 1}   -2.48{col 46}{space 3}0.013{col 54}{space 4}-.8424741{col 67}{space 3}-.0993255
{txt}{space 10}5  {c |}{col 14}{res}{space 2}-.8723536{col 26}{space 2} .1792367{col 37}{space 1}   -4.87{col 46}{space 3}0.000{col 54}{space 4} -1.22377{col 67}{space 3}-.5209374
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.9425822{col 26}{space 2} .2138396{col 37}{space 1}   -4.41{col 46}{space 3}0.000{col 54}{space 4}-1.361842{col 67}{space 3}-.5233228
{txt}{space 10}7  {c |}{col 14}{res}{space 2}-1.000745{col 26}{space 2} .1446736{col 37}{space 1}   -6.92{col 46}{space 3}0.000{col 54}{space 4}-1.284396{col 67}{space 3} -.717094
{txt}{space 10}8  {c |}{col 14}{res}{space 2}-1.263959{col 26}{space 2} .1650803{col 37}{space 1}   -7.66{col 46}{space 3}0.000{col 54}{space 4}-1.587619{col 67}{space 3} -.940298
{txt}{space 10}9  {c |}{col 14}{res}{space 2} -.931962{col 26}{space 2} .2005492{col 37}{space 1}   -4.65{col 46}{space 3}0.000{col 54}{space 4}-1.325164{col 67}{space 3}  -.53876
{txt}{space 12} {c |}
{space 5}1.rural {c |}{col 14}{res}{space 2}-.1585721{col 26}{space 2} .0773987{col 37}{space 1}   -2.05{col 46}{space 3}0.041{col 54}{space 4} -.310322{col 67}{space 3}-.0068222
{txt}{space 3}1.married {c |}{col 14}{res}{space 2}-.0372738{col 26}{space 2} .0854786{col 37}{space 1}   -0.44{col 46}{space 3}0.663{col 54}{space 4}-.2048655{col 67}{space 3} .1303178
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-5.099486{col 26}{space 2} 4.531388{col 37}{space 1}   -1.13{col 46}{space 3}0.261{col 54}{space 4}-13.98384{col 67}{space 3} 3.784872
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. regress imtcjob rtrd eduyrs agea agesquared hinctnta ever_child lrscale brncntr i.country i.iscoco10 i.rural i.married, robust 

{txt}Linear regression                               Number of obs     = {res}     3,607
                                                {txt}F(31, 3575)       =  {res}    16.12
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1276
                                                {txt}Root MSE          =    {res} 2.0389

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     imtcjob{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}rtrd {c |}{col 14}{res}{space 2}-.0119053{col 26}{space 2} .1154426{col 37}{space 1}   -0.10{col 46}{space 3}0.918{col 54}{space 4}-.2382454{col 67}{space 3} .2144347
{txt}{space 6}eduyrs {c |}{col 14}{res}{space 2} .0504099{col 26}{space 2} .0103811{col 37}{space 1}    4.86{col 46}{space 3}0.000{col 54}{space 4} .0300564{col 67}{space 3} .0707635
{txt}{space 8}agea {c |}{col 14}{res}{space 2} .1308364{col 26}{space 2}  .142788{col 37}{space 1}    0.92{col 46}{space 3}0.360{col 54}{space 4}-.1491177{col 67}{space 3} .4107906
{txt}{space 2}agesquared {c |}{col 14}{res}{space 2}-.0010908{col 26}{space 2} .0012186{col 37}{space 1}   -0.90{col 46}{space 3}0.371{col 54}{space 4}-.0034799{col 67}{space 3} .0012984
{txt}{space 4}hinctnta {c |}{col 14}{res}{space 2} .0366918{col 26}{space 2} .0166334{col 37}{space 1}    2.21{col 46}{space 3}0.027{col 54}{space 4} .0040799{col 67}{space 3} .0693038
{txt}{space 2}ever_child {c |}{col 14}{res}{space 2} .0147404{col 26}{space 2} .0956641{col 37}{space 1}    0.15{col 46}{space 3}0.878{col 54}{space 4}-.1728213{col 67}{space 3} .2023021
{txt}{space 5}lrscale {c |}{col 14}{res}{space 2}-.0382438{col 26}{space 2} .0180417{col 37}{space 1}   -2.12{col 46}{space 3}0.034{col 54}{space 4}-.0736169{col 67}{space 3}-.0028708
{txt}{space 5}brncntr {c |}{col 14}{res}{space 2} .6019266{col 26}{space 2} .1412077{col 37}{space 1}    4.26{col 46}{space 3}0.000{col 54}{space 4} .3250709{col 67}{space 3} .8787822
{txt}{space 12} {c |}
{space 5}country {c |}
{space 9}BE  {c |}{col 14}{res}{space 2} .0845216{col 26}{space 2} .2125538{col 37}{space 1}    0.40{col 46}{space 3}0.691{col 54}{space 4}-.3322173{col 67}{space 3} .5012604
{txt}{space 9}CH  {c |}{col 14}{res}{space 2} 1.012092{col 26}{space 2} .2119128{col 37}{space 1}    4.78{col 46}{space 3}0.000{col 54}{space 4} .5966093{col 67}{space 3} 1.427574
{txt}{space 9}DE  {c |}{col 14}{res}{space 2} 1.183817{col 26}{space 2} .1865948{col 37}{space 1}    6.34{col 46}{space 3}0.000{col 54}{space 4} .8179744{col 67}{space 3}  1.54966
{txt}{space 9}DK  {c |}{col 14}{res}{space 2} .9646096{col 26}{space 2} .2092343{col 37}{space 1}    4.61{col 46}{space 3}0.000{col 54}{space 4} .5543791{col 67}{space 3}  1.37484
{txt}{space 9}ES  {c |}{col 14}{res}{space 2} .3941377{col 26}{space 2} .2408794{col 37}{space 1}    1.64{col 46}{space 3}0.102{col 54}{space 4}-.0781371{col 67}{space 3} .8664124
{txt}{space 9}FI  {c |}{col 14}{res}{space 2} 1.150243{col 26}{space 2}  .195708{col 37}{space 1}    5.88{col 46}{space 3}0.000{col 54}{space 4} .7665323{col 67}{space 3} 1.533953
{txt}{space 9}FR  {c |}{col 14}{res}{space 2} .6013598{col 26}{space 2} .2132166{col 37}{space 1}    2.82{col 46}{space 3}0.005{col 54}{space 4} .1833215{col 67}{space 3} 1.019398
{txt}{space 9}GB  {c |}{col 14}{res}{space 2} .2630672{col 26}{space 2}  .213914{col 37}{space 1}    1.23{col 46}{space 3}0.219{col 54}{space 4}-.1563386{col 67}{space 3} .6824729
{txt}{space 9}IE  {c |}{col 14}{res}{space 2}  .092981{col 26}{space 2} .2198511{col 37}{space 1}    0.42{col 46}{space 3}0.672{col 54}{space 4}-.3380652{col 67}{space 3} .5240272
{txt}{space 9}NL  {c |}{col 14}{res}{space 2} .3926327{col 26}{space 2} .1945914{col 37}{space 1}    2.02{col 46}{space 3}0.044{col 54}{space 4} .0111114{col 67}{space 3} .7741541
{txt}{space 9}NO  {c |}{col 14}{res}{space 2} 1.564346{col 26}{space 2} .2008616{col 37}{space 1}    7.79{col 46}{space 3}0.000{col 54}{space 4} 1.170532{col 67}{space 3} 1.958161
{txt}{space 9}PT  {c |}{col 14}{res}{space 2}  .978318{col 26}{space 2} .2742713{col 37}{space 1}    3.57{col 46}{space 3}0.000{col 54}{space 4} .4405741{col 67}{space 3} 1.516062
{txt}{space 9}SE  {c |}{col 14}{res}{space 2} 1.678684{col 26}{space 2} .2048425{col 37}{space 1}    8.20{col 46}{space 3}0.000{col 54}{space 4} 1.277065{col 67}{space 3} 2.080304
{txt}{space 12} {c |}
{space 4}iscoco10 {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0779745{col 26}{space 2}  .111777{col 37}{space 1}   -0.70{col 46}{space 3}0.485{col 54}{space 4}-.2971276{col 67}{space 3} .1411786
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.2291412{col 26}{space 2} .1180511{col 37}{space 1}   -1.94{col 46}{space 3}0.052{col 54}{space 4}-.4605954{col 67}{space 3}  .002313
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.1802715{col 26}{space 2} .1636541{col 37}{space 1}   -1.10{col 46}{space 3}0.271{col 54}{space 4}-.5011362{col 67}{space 3} .1405932
{txt}{space 10}5  {c |}{col 14}{res}{space 2} -.621756{col 26}{space 2} .1602426{col 37}{space 1}   -3.88{col 46}{space 3}0.000{col 54}{space 4}-.9359321{col 67}{space 3}-.3075798
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.7330442{col 26}{space 2} .2208168{col 37}{space 1}   -3.32{col 46}{space 3}0.001{col 54}{space 4}-1.165984{col 67}{space 3}-.3001048
{txt}{space 10}7  {c |}{col 14}{res}{space 2}-.6921991{col 26}{space 2} .1349412{col 37}{space 1}   -5.13{col 46}{space 3}0.000{col 54}{space 4}-.9567686{col 67}{space 3}-.4276295
{txt}{space 10}8  {c |}{col 14}{res}{space 2}-.7583552{col 26}{space 2} .1516657{col 37}{space 1}   -5.00{col 46}{space 3}0.000{col 54}{space 4}-1.055715{col 67}{space 3}-.4609952
{txt}{space 10}9  {c |}{col 14}{res}{space 2} -.803101{col 26}{space 2} .1866835{col 37}{space 1}   -4.30{col 46}{space 3}0.000{col 54}{space 4}-1.169118{col 67}{space 3}-.4370841
{txt}{space 12} {c |}
{space 5}1.rural {c |}{col 14}{res}{space 2}-.1280225{col 26}{space 2} .0737363{col 37}{space 1}   -1.74{col 46}{space 3}0.083{col 54}{space 4} -.272592{col 67}{space 3}  .016547
{txt}{space 3}1.married {c |}{col 14}{res}{space 2}-.0363172{col 26}{space 2} .0801128{col 37}{space 1}   -0.45{col 46}{space 3}0.650{col 54}{space 4}-.1933887{col 67}{space 3} .1207542
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.277125{col 26}{space 2} 4.187229{col 37}{space 1}   -0.07{col 46}{space 3}0.947{col 54}{space 4}-8.486723{col 67}{space 3} 7.932473
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. regress imbleco rtrd eduyrs agea agesquared hinctnta ever_child lrscale brncntr i.country i.iscoco10 i.rural i.married, robust 

{txt}Linear regression                               Number of obs     = {res}     3,598
                                                {txt}F(31, 3566)       =  {res}    12.74
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0983
                                                {txt}Root MSE          =    {res} 2.1087

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     imbleco{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}rtrd {c |}{col 14}{res}{space 2}-.0216377{col 26}{space 2} .1170962{col 37}{space 1}   -0.18{col 46}{space 3}0.853{col 54}{space 4}  -.25122{col 67}{space 3} .2079446
{txt}{space 6}eduyrs {c |}{col 14}{res}{space 2} .0418902{col 26}{space 2} .0107724{col 37}{space 1}    3.89{col 46}{space 3}0.000{col 54}{space 4} .0207695{col 67}{space 3} .0630109
{txt}{space 8}agea {c |}{col 14}{res}{space 2} .1920583{col 26}{space 2} .1487967{col 37}{space 1}    1.29{col 46}{space 3}0.197{col 54}{space 4}-.0996769{col 67}{space 3} .4837936
{txt}{space 2}agesquared {c |}{col 14}{res}{space 2}-.0015736{col 26}{space 2}  .001269{col 37}{space 1}   -1.24{col 46}{space 3}0.215{col 54}{space 4}-.0040616{col 67}{space 3} .0009144
{txt}{space 4}hinctnta {c |}{col 14}{res}{space 2} .0334076{col 26}{space 2}  .017231{col 37}{space 1}    1.94{col 46}{space 3}0.053{col 54}{space 4} -.000376{col 67}{space 3} .0671911
{txt}{space 2}ever_child {c |}{col 14}{res}{space 2}-.2242017{col 26}{space 2} .0988152{col 37}{space 1}   -2.27{col 46}{space 3}0.023{col 54}{space 4}-.4179416{col 67}{space 3}-.0304618
{txt}{space 5}lrscale {c |}{col 14}{res}{space 2}-.1473928{col 26}{space 2} .0185673{col 37}{space 1}   -7.94{col 46}{space 3}0.000{col 54}{space 4}-.1837965{col 67}{space 3}-.1109892
{txt}{space 5}brncntr {c |}{col 14}{res}{space 2} .7854479{col 26}{space 2} .1426182{col 37}{space 1}    5.51{col 46}{space 3}0.000{col 54}{space 4} .5058265{col 67}{space 3} 1.065069
{txt}{space 12} {c |}
{space 5}country {c |}
{space 9}BE  {c |}{col 14}{res}{space 2} .4956921{col 26}{space 2} .2154688{col 37}{space 1}    2.30{col 46}{space 3}0.021{col 54}{space 4} .0732375{col 67}{space 3} .9181466
{txt}{space 9}CH  {c |}{col 14}{res}{space 2} .6613051{col 26}{space 2} .2238087{col 37}{space 1}    2.95{col 46}{space 3}0.003{col 54}{space 4} .2224992{col 67}{space 3} 1.100111
{txt}{space 9}DE  {c |}{col 14}{res}{space 2} 1.157493{col 26}{space 2} .1886627{col 37}{space 1}    6.14{col 46}{space 3}0.000{col 54}{space 4} .7875957{col 67}{space 3} 1.527391
{txt}{space 9}DK  {c |}{col 14}{res}{space 2} 1.121863{col 26}{space 2} .2172117{col 37}{space 1}    5.16{col 46}{space 3}0.000{col 54}{space 4} .6959917{col 67}{space 3} 1.547735
{txt}{space 9}ES  {c |}{col 14}{res}{space 2} .2977753{col 26}{space 2} .2249639{col 37}{space 1}    1.32{col 46}{space 3}0.186{col 54}{space 4}-.1432956{col 67}{space 3} .7388462
{txt}{space 9}FI  {c |}{col 14}{res}{space 2} .9337085{col 26}{space 2} .2023511{col 37}{space 1}    4.61{col 46}{space 3}0.000{col 54}{space 4} .5369729{col 67}{space 3} 1.330444
{txt}{space 9}FR  {c |}{col 14}{res}{space 2} .8319474{col 26}{space 2} .2152525{col 37}{space 1}    3.86{col 46}{space 3}0.000{col 54}{space 4}  .409917{col 67}{space 3} 1.253978
{txt}{space 9}GB  {c |}{col 14}{res}{space 2}  .558699{col 26}{space 2} .2184255{col 37}{space 1}    2.56{col 46}{space 3}0.011{col 54}{space 4} .1304474{col 67}{space 3} .9869505
{txt}{space 9}IE  {c |}{col 14}{res}{space 2} .5805656{col 26}{space 2} .2296552{col 37}{space 1}    2.53{col 46}{space 3}0.012{col 54}{space 4} .1302969{col 67}{space 3} 1.030834
{txt}{space 9}NL  {c |}{col 14}{res}{space 2} .7920098{col 26}{space 2} .1972845{col 37}{space 1}    4.01{col 46}{space 3}0.000{col 54}{space 4} .4052081{col 67}{space 3} 1.178812
{txt}{space 9}NO  {c |}{col 14}{res}{space 2} 1.212886{col 26}{space 2}  .204921{col 37}{space 1}    5.92{col 46}{space 3}0.000{col 54}{space 4} .8111115{col 67}{space 3}  1.61466
{txt}{space 9}PT  {c |}{col 14}{res}{space 2} 1.591644{col 26}{space 2} .2645734{col 37}{space 1}    6.02{col 46}{space 3}0.000{col 54}{space 4} 1.072914{col 67}{space 3} 2.110375
{txt}{space 9}SE  {c |}{col 14}{res}{space 2} 1.423761{col 26}{space 2} .2148018{col 37}{space 1}    6.63{col 46}{space 3}0.000{col 54}{space 4} 1.002615{col 67}{space 3} 1.844908
{txt}{space 12} {c |}
{space 4}iscoco10 {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0097361{col 26}{space 2} .1253863{col 37}{space 1}   -0.08{col 46}{space 3}0.938{col 54}{space 4}-.2555721{col 67}{space 3} .2360999
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.3778937{col 26}{space 2} .1254498{col 37}{space 1}   -3.01{col 46}{space 3}0.003{col 54}{space 4}-.6238544{col 67}{space 3}-.1319331
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.1755072{col 26}{space 2} .1828905{col 37}{space 1}   -0.96{col 46}{space 3}0.337{col 54}{space 4}-.5340877{col 67}{space 3} .1830734
{txt}{space 10}5  {c |}{col 14}{res}{space 2}-.4500412{col 26}{space 2}  .165898{col 37}{space 1}   -2.71{col 46}{space 3}0.007{col 54}{space 4}-.7753057{col 67}{space 3}-.1247768
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.7331915{col 26}{space 2} .2163053{col 37}{space 1}   -3.39{col 46}{space 3}0.001{col 54}{space 4}-1.157286{col 67}{space 3}-.3090969
{txt}{space 10}7  {c |}{col 14}{res}{space 2} -.636225{col 26}{space 2} .1397977{col 37}{space 1}   -4.55{col 46}{space 3}0.000{col 54}{space 4}-.9103164{col 67}{space 3}-.3621335
{txt}{space 10}8  {c |}{col 14}{res}{space 2}-.6167181{col 26}{space 2} .1561119{col 37}{space 1}   -3.95{col 46}{space 3}0.000{col 54}{space 4}-.9227958{col 67}{space 3}-.3106405
{txt}{space 10}9  {c |}{col 14}{res}{space 2}-.6040699{col 26}{space 2} .1863177{col 37}{space 1}   -3.24{col 46}{space 3}0.001{col 54}{space 4}  -.96937{col 67}{space 3}-.2387699
{txt}{space 12} {c |}
{space 5}1.rural {c |}{col 14}{res}{space 2} .0179662{col 26}{space 2} .0744211{col 37}{space 1}    0.24{col 46}{space 3}0.809{col 54}{space 4} -.127946{col 67}{space 3} .1638784
{txt}{space 3}1.married {c |}{col 14}{res}{space 2} .1063939{col 26}{space 2} .0852164{col 37}{space 1}    1.25{col 46}{space 3}0.212{col 54}{space 4} -.060684{col 67}{space 3} .2734717
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-2.366563{col 26}{space 2} 4.370282{col 37}{space 1}   -0.54{col 46}{space 3}0.588{col 54}{space 4}-10.93507{col 67}{space 3} 6.201941
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. ***********************

. *****IV models*********

. ***********************

. ivregress 2sls imbgeco (rtrd=above_early above_full) eduyrs agea agesquared hinctnta ever_child lrscale brncntr i.country i.iscoco10 i.rural i.married, robust first
{res}
{txt}First-stage regressions
{hline 23}
{res}
{txt}{col 49}Number of obs{col 67}= {res}     3,616
{txt}{col 49}F({res}  32{txt},{res}   3583{txt}){col 67}= {res}    239.35
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.5738
{txt}{col 49}Adj R-squared{col 67}= {res}    0.5700
{txt}{col 49}Root MSE{col 67}= {res}    0.3070

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}        rtrd{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}eduyrs {c |}{col 14}{res}{space 2}-.0028807{col 26}{space 2} .0015353{col 37}{space 1}   -1.88{col 46}{space 3}0.061{col 54}{space 4}-.0058908{col 67}{space 3} .0001294
{txt}{space 8}agea {c |}{col 14}{res}{space 2}-.1768809{col 26}{space 2} .0269043{col 37}{space 1}   -6.57{col 46}{space 3}0.000{col 54}{space 4}-.2296303{col 67}{space 3}-.1241316
{txt}{space 2}agesquared {c |}{col 14}{res}{space 2} .0017872{col 26}{space 2} .0002409{col 37}{space 1}    7.42{col 46}{space 3}0.000{col 54}{space 4} .0013148{col 67}{space 3} .0022595
{txt}{space 4}hinctnta {c |}{col 14}{res}{space 2}-.0111391{col 26}{space 2} .0025211{col 37}{space 1}   -4.42{col 46}{space 3}0.000{col 54}{space 4}-.0160821{col 67}{space 3}-.0061961
{txt}{space 2}ever_child {c |}{col 14}{res}{space 2} .0002276{col 26}{space 2} .0142945{col 37}{space 1}    0.02{col 46}{space 3}0.987{col 54}{space 4}-.0277986{col 67}{space 3} .0282537
{txt}{space 5}lrscale {c |}{col 14}{res}{space 2} .0014413{col 26}{space 2}  .002506{col 37}{space 1}    0.58{col 46}{space 3}0.565{col 54}{space 4} -.003472{col 67}{space 3} .0063547
{txt}{space 5}brncntr {c |}{col 14}{res}{space 2}-.0653807{col 26}{space 2} .0165687{col 37}{space 1}   -3.95{col 46}{space 3}0.000{col 54}{space 4}-.0978659{col 67}{space 3}-.0328956
{txt}{space 12} {c |}
{space 5}country {c |}
{space 9}BE  {c |}{col 14}{res}{space 2} .0176147{col 26}{space 2} .0285895{col 37}{space 1}    0.62{col 46}{space 3}0.538{col 54}{space 4}-.0384387{col 67}{space 3}  .073668
{txt}{space 9}CH  {c |}{col 14}{res}{space 2}-.0954887{col 26}{space 2} .0280784{col 37}{space 1}   -3.40{col 46}{space 3}0.001{col 54}{space 4}  -.15054{col 67}{space 3}-.0404374
{txt}{space 9}DE  {c |}{col 14}{res}{space 2}-.0253386{col 26}{space 2} .0255699{col 37}{space 1}   -0.99{col 46}{space 3}0.322{col 54}{space 4}-.0754715{col 67}{space 3} .0247944
{txt}{space 9}DK  {c |}{col 14}{res}{space 2}-.0536207{col 26}{space 2} .0290862{col 37}{space 1}   -1.84{col 46}{space 3}0.065{col 54}{space 4}-.1106478{col 67}{space 3} .0034065
{txt}{space 9}ES  {c |}{col 14}{res}{space 2}-.1032249{col 26}{space 2} .0273571{col 37}{space 1}   -3.77{col 46}{space 3}0.000{col 54}{space 4} -.156862{col 67}{space 3}-.0495878
{txt}{space 9}FI  {c |}{col 14}{res}{space 2}-.0003086{col 26}{space 2} .0273689{col 37}{space 1}   -0.01{col 46}{space 3}0.991{col 54}{space 4}-.0539688{col 67}{space 3} .0533516
{txt}{space 9}FR  {c |}{col 14}{res}{space 2} .0608145{col 26}{space 2} .0284002{col 37}{space 1}    2.14{col 46}{space 3}0.032{col 54}{space 4} .0051324{col 67}{space 3} .1164967
{txt}{space 9}GB  {c |}{col 14}{res}{space 2}-.0333902{col 26}{space 2} .0300093{col 37}{space 1}   -1.11{col 46}{space 3}0.266{col 54}{space 4}-.0922271{col 67}{space 3} .0254468
{txt}{space 9}IE  {c |}{col 14}{res}{space 2}-.1509648{col 26}{space 2} .0386793{col 37}{space 1}   -3.90{col 46}{space 3}0.000{col 54}{space 4}-.2268004{col 67}{space 3}-.0751291
{txt}{space 9}NL  {c |}{col 14}{res}{space 2}-.0592563{col 26}{space 2} .0268382{col 37}{space 1}   -2.21{col 46}{space 3}0.027{col 54}{space 4}-.1118759{col 67}{space 3}-.0066366
{txt}{space 9}NO  {c |}{col 14}{res}{space 2}-.1477437{col 26}{space 2} .0298317{col 37}{space 1}   -4.95{col 46}{space 3}0.000{col 54}{space 4}-.2062325{col 67}{space 3}-.0892549
{txt}{space 9}PT  {c |}{col 14}{res}{space 2} .0071682{col 26}{space 2} .0362517{col 37}{space 1}    0.20{col 46}{space 3}0.843{col 54}{space 4}-.0639079{col 67}{space 3} .0782443
{txt}{space 9}SE  {c |}{col 14}{res}{space 2}-.1669463{col 26}{space 2} .0287459{col 37}{space 1}   -5.81{col 46}{space 3}0.000{col 54}{space 4}-.2233063{col 67}{space 3}-.1105862
{txt}{space 12} {c |}
{space 4}iscoco10 {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0060975{col 26}{space 2} .0193304{col 37}{space 1}   -0.32{col 46}{space 3}0.752{col 54}{space 4}-.0439972{col 67}{space 3} .0318021
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.0030237{col 26}{space 2} .0195069{col 37}{space 1}   -0.16{col 46}{space 3}0.877{col 54}{space 4}-.0412694{col 67}{space 3} .0352221
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0142748{col 26}{space 2} .0283397{col 37}{space 1}    0.50{col 46}{space 3}0.615{col 54}{space 4}-.0412888{col 67}{space 3} .0698383
{txt}{space 10}5  {c |}{col 14}{res}{space 2}-.0092569{col 26}{space 2} .0243733{col 37}{space 1}   -0.38{col 46}{space 3}0.704{col 54}{space 4}-.0570437{col 67}{space 3}   .03853
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.1290673{col 26}{space 2} .0308352{col 37}{space 1}   -4.19{col 46}{space 3}0.000{col 54}{space 4}-.1895237{col 67}{space 3} -.068611
{txt}{space 10}7  {c |}{col 14}{res}{space 2}-.0120666{col 26}{space 2} .0212834{col 37}{space 1}   -0.57{col 46}{space 3}0.571{col 54}{space 4}-.0537955{col 67}{space 3} .0296622
{txt}{space 10}8  {c |}{col 14}{res}{space 2} .0159785{col 26}{space 2} .0238941{col 37}{space 1}    0.67{col 46}{space 3}0.504{col 54}{space 4}-.0308689{col 67}{space 3}  .062826
{txt}{space 10}9  {c |}{col 14}{res}{space 2}-.0688446{col 26}{space 2} .0268101{col 37}{space 1}   -2.57{col 46}{space 3}0.010{col 54}{space 4}-.1214092{col 67}{space 3}  -.01628
{txt}{space 12} {c |}
{space 5}1.rural {c |}{col 14}{res}{space 2} .0246413{col 26}{space 2} .0109745{col 37}{space 1}    2.25{col 46}{space 3}0.025{col 54}{space 4} .0031244{col 67}{space 3} .0461581
{txt}{space 3}1.married {c |}{col 14}{res}{space 2} .0328081{col 26}{space 2} .0113882{col 37}{space 1}    2.88{col 46}{space 3}0.004{col 54}{space 4} .0104801{col 67}{space 3} .0551361
{txt}{space 1}above_early {c |}{col 14}{res}{space 2} .1373986{col 26}{space 2} .0277152{col 37}{space 1}    4.96{col 46}{space 3}0.000{col 54}{space 4} .0830595{col 67}{space 3} .1917378
{txt}{space 2}above_full {c |}{col 14}{res}{space 2}  .187486{col 26}{space 2} .0341354{col 37}{space 1}    5.49{col 46}{space 3}0.000{col 54}{space 4} .1205592{col 67}{space 3} .2544128
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 4.559774{col 26}{space 2} .7491668{col 37}{space 1}    6.09{col 46}{space 3}0.000{col 54}{space 4} 3.090937{col 67}{space 3}  6.02861
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{res}
{txt}{col 1}Instrumental variables (2SLS) regression{col 51}Number of obs{col 67}= {res}     3,616
{txt}{col 1}{col 51}Wald chi2({res}31{txt}){col 67}= {res}    741.90
{txt}{col 1}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}{col 1}{col 51}R-squared{col 67}= {res}    0.1577
{txt}{col 51}Root MSE{col 67}=    {res} 2.1894

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     imbgeco{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}rtrd {c |}{col 14}{res}{space 2} -.604852{col 26}{space 2} .6384164{col 37}{space 1}   -0.95{col 46}{space 3}0.343{col 54}{space 4}-1.856125{col 67}{space 3} .6464212
{txt}{space 6}eduyrs {c |}{col 14}{res}{space 2} .0726592{col 26}{space 2} .0116076{col 37}{space 1}    6.26{col 46}{space 3}0.000{col 54}{space 4} .0499088{col 67}{space 3} .0954096
{txt}{space 8}agea {c |}{col 14}{res}{space 2} .1136691{col 26}{space 2} .2820822{col 37}{space 1}    0.40{col 46}{space 3}0.687{col 54}{space 4}-.4392019{col 67}{space 3} .6665401
{txt}{space 2}agesquared {c |}{col 14}{res}{space 2}-.0006013{col 26}{space 2}  .002627{col 37}{space 1}   -0.23{col 46}{space 3}0.819{col 54}{space 4}-.0057501{col 67}{space 3} .0045475
{txt}{space 4}hinctnta {c |}{col 14}{res}{space 2} .0655184{col 26}{space 2} .0195551{col 37}{space 1}    3.35{col 46}{space 3}0.001{col 54}{space 4} .0271912{col 67}{space 3} .1038457
{txt}{space 2}ever_child {c |}{col 14}{res}{space 2}-.0775045{col 26}{space 2} .0996305{col 37}{space 1}   -0.78{col 46}{space 3}0.437{col 54}{space 4}-.2727767{col 67}{space 3} .1177677
{txt}{space 5}lrscale {c |}{col 14}{res}{space 2}-.1344268{col 26}{space 2} .0194656{col 37}{space 1}   -6.91{col 46}{space 3}0.000{col 54}{space 4}-.1725785{col 67}{space 3} -.096275
{txt}{space 5}brncntr {c |}{col 14}{res}{space 2} .6407989{col 26}{space 2} .1572859{col 37}{space 1}    4.07{col 46}{space 3}0.000{col 54}{space 4} .3325242{col 67}{space 3} .9490736
{txt}{space 12} {c |}
{space 5}country {c |}
{space 9}BE  {c |}{col 14}{res}{space 2}-.4013511{col 26}{space 2} .2252547{col 37}{space 1}   -1.78{col 46}{space 3}0.075{col 54}{space 4}-.8428422{col 67}{space 3} .0401401
{txt}{space 9}CH  {c |}{col 14}{res}{space 2} 1.216134{col 26}{space 2} .2264833{col 37}{space 1}    5.37{col 46}{space 3}0.000{col 54}{space 4} .7722352{col 67}{space 3} 1.660034
{txt}{space 9}DE  {c |}{col 14}{res}{space 2} .7467605{col 26}{space 2} .1980938{col 37}{space 1}    3.77{col 46}{space 3}0.000{col 54}{space 4} .3585037{col 67}{space 3} 1.135017
{txt}{space 9}DK  {c |}{col 14}{res}{space 2} .1830157{col 26}{space 2} .2339696{col 37}{space 1}    0.78{col 46}{space 3}0.434{col 54}{space 4}-.2755564{col 67}{space 3} .6415878
{txt}{space 9}ES  {c |}{col 14}{res}{space 2} .7086352{col 26}{space 2} .2490979{col 37}{space 1}    2.84{col 46}{space 3}0.004{col 54}{space 4} .2204123{col 67}{space 3} 1.196858
{txt}{space 9}FI  {c |}{col 14}{res}{space 2} .5663288{col 26}{space 2} .2087967{col 37}{space 1}    2.71{col 46}{space 3}0.007{col 54}{space 4} .1570947{col 67}{space 3} .9755628
{txt}{space 9}FR  {c |}{col 14}{res}{space 2}-.1254315{col 26}{space 2} .2295223{col 37}{space 1}   -0.55{col 46}{space 3}0.585{col 54}{space 4} -.575287{col 67}{space 3}  .324424
{txt}{space 9}GB  {c |}{col 14}{res}{space 2}-.2398575{col 26}{space 2}  .223058{col 37}{space 1}   -1.08{col 46}{space 3}0.282{col 54}{space 4}-.6770431{col 67}{space 3} .1973282
{txt}{space 9}IE  {c |}{col 14}{res}{space 2} .1137673{col 26}{space 2} .2389974{col 37}{space 1}    0.48{col 46}{space 3}0.634{col 54}{space 4}-.3546589{col 67}{space 3} .5821935
{txt}{space 9}NL  {c |}{col 14}{res}{space 2}-.1536907{col 26}{space 2} .2125556{col 37}{space 1}   -0.72{col 46}{space 3}0.470{col 54}{space 4}-.5702921{col 67}{space 3} .2629107
{txt}{space 9}NO  {c |}{col 14}{res}{space 2} .5911907{col 26}{space 2} .2339199{col 37}{space 1}    2.53{col 46}{space 3}0.011{col 54}{space 4} .1327161{col 67}{space 3} 1.049665
{txt}{space 9}PT  {c |}{col 14}{res}{space 2} .6338258{col 26}{space 2} .2883067{col 37}{space 1}    2.20{col 46}{space 3}0.028{col 54}{space 4} .0687551{col 67}{space 3} 1.198896
{txt}{space 9}SE  {c |}{col 14}{res}{space 2} .1650913{col 26}{space 2} .2442069{col 37}{space 1}    0.68{col 46}{space 3}0.499{col 54}{space 4}-.3135454{col 67}{space 3}  .643728
{txt}{space 12} {c |}
{space 4}iscoco10 {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0747563{col 26}{space 2} .1253885{col 37}{space 1}   -0.60{col 46}{space 3}0.551{col 54}{space 4}-.3205133{col 67}{space 3} .1710007
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.2972129{col 26}{space 2} .1293788{col 37}{space 1}   -2.30{col 46}{space 3}0.022{col 54}{space 4}-.5507907{col 67}{space 3} -.043635
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.4649481{col 26}{space 2} .1901986{col 37}{space 1}   -2.44{col 46}{space 3}0.015{col 54}{space 4}-.8377306{col 67}{space 3}-.0921657
{txt}{space 10}5  {c |}{col 14}{res}{space 2}-.8790263{col 26}{space 2} .1790596{col 37}{space 1}   -4.91{col 46}{space 3}0.000{col 54}{space 4}-1.229977{col 67}{space 3}-.5280758
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-1.012569{col 26}{space 2} .2283132{col 37}{space 1}   -4.44{col 46}{space 3}0.000{col 54}{space 4}-1.460055{col 67}{space 3}-.5650833
{txt}{space 10}7  {c |}{col 14}{res}{space 2}-1.007655{col 26}{space 2} .1438689{col 37}{space 1}   -7.00{col 46}{space 3}0.000{col 54}{space 4}-1.289633{col 67}{space 3}-.7256771
{txt}{space 10}8  {c |}{col 14}{res}{space 2} -1.25764{col 26}{space 2} .1655834{col 37}{space 1}   -7.60{col 46}{space 3}0.000{col 54}{space 4}-1.582177{col 67}{space 3}-.9331024
{txt}{space 10}9  {c |}{col 14}{res}{space 2}-.9697296{col 26}{space 2} .2030375{col 37}{space 1}   -4.78{col 46}{space 3}0.000{col 54}{space 4}-1.367676{col 67}{space 3}-.5717833
{txt}{space 12} {c |}
{space 5}1.rural {c |}{col 14}{res}{space 2}-.1456312{col 26}{space 2} .0781522{col 37}{space 1}   -1.86{col 46}{space 3}0.062{col 54}{space 4}-.2988067{col 67}{space 3} .0075442
{txt}{space 3}1.married {c |}{col 14}{res}{space 2}-.0196171{col 26}{space 2} .0880446{col 37}{space 1}   -0.22{col 46}{space 3}0.824{col 54}{space 4}-.1921813{col 67}{space 3} .1529472
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0859954{col 26}{space 2} 7.724964{col 37}{space 1}    0.01{col 46}{space 3}0.991{col 54}{space 4}-15.05466{col 67}{space 3} 15.22665
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 15 26}Instrumented:{space 2}rtrd{p_end}
{p 0 15 26}Instruments:{space 3}eduyrs agea agesquared hinctnta ever_child lrscale brncntr 2.country 3.country 5.country 6.country 8.country 9.country 10.country 11.country 13.country 16.country 17.country 19.country 20.country 2.iscoco10 3.iscoco10 4.iscoco10 5.iscoco10 6.iscoco10 7.iscoco10 8.iscoco10 9.iscoco10 1.rural 1.married above_early above_full{p_end}

{com}. estat firststage

{txt}{col 3}First-stage regression summary statistics
{res}{col 3}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 12}{hline 12}{hline 12}
{col 16}{c |}{col 29}Adjusted{col 43}Partial{col 57}Robust
{col 3}{text}    Variable{col 16}{c |}   R-sq.{col 29}   R-sq.{col 41}    R-sq.{col 53}  F(2,3583){col 65}  Prob > F
{res}{col 3}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 12}{hline 12}{hline 12}
{col 3}{text}        rtrd{col 16}{c |}{result}{space 2}0.5738{col 29}{space 2}0.5700{col 41}{space 3}0.0335{col 53}{space 3} 38.4306{col 65}{space 3}0.0000
{col 3}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 12}{hline 12}{hline 12}

{res}
{com}. ivregress 2sls imtcjob (rtrd=above_early above_full) eduyrs agea agesquared hinctnta ever_child lrscale brncntr i.country i.iscoco10 i.rural i.married, robust first
{res}
{txt}First-stage regressions
{hline 23}
{res}
{txt}{col 49}Number of obs{col 67}= {res}     3,607
{txt}{col 49}F({res}  32{txt},{res}   3574{txt}){col 67}= {res}    237.93
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.5718
{txt}{col 49}Adj R-squared{col 67}= {res}    0.5680
{txt}{col 49}Root MSE{col 67}= {res}    0.3077

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}        rtrd{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}eduyrs {c |}{col 14}{res}{space 2}-.0030255{col 26}{space 2} .0015395{col 37}{space 1}   -1.97{col 46}{space 3}0.049{col 54}{space 4} -.006044{col 67}{space 3}-7.09e-06
{txt}{space 8}agea {c |}{col 14}{res}{space 2}-.1743686{col 26}{space 2} .0269629{col 37}{space 1}   -6.47{col 46}{space 3}0.000{col 54}{space 4}-.2272329{col 67}{space 3}-.1215044
{txt}{space 2}agesquared {c |}{col 14}{res}{space 2} .0017653{col 26}{space 2} .0002415{col 37}{space 1}    7.31{col 46}{space 3}0.000{col 54}{space 4} .0012918{col 67}{space 3} .0022388
{txt}{space 4}hinctnta {c |}{col 14}{res}{space 2}-.0109724{col 26}{space 2} .0025307{col 37}{space 1}   -4.34{col 46}{space 3}0.000{col 54}{space 4}-.0159342{col 67}{space 3}-.0060106
{txt}{space 2}ever_child {c |}{col 14}{res}{space 2}-.0000754{col 26}{space 2} .0142974{col 37}{space 1}   -0.01{col 46}{space 3}0.996{col 54}{space 4}-.0281073{col 67}{space 3} .0279564
{txt}{space 5}lrscale {c |}{col 14}{res}{space 2} .0014602{col 26}{space 2} .0024974{col 37}{space 1}    0.58{col 46}{space 3}0.559{col 54}{space 4}-.0034364{col 67}{space 3} .0063568
{txt}{space 5}brncntr {c |}{col 14}{res}{space 2}-.0654735{col 26}{space 2}  .016812{col 37}{space 1}   -3.89{col 46}{space 3}0.000{col 54}{space 4}-.0984356{col 67}{space 3}-.0325114
{txt}{space 12} {c |}
{space 5}country {c |}
{space 9}BE  {c |}{col 14}{res}{space 2} .0168999{col 26}{space 2} .0288527{col 37}{space 1}    0.59{col 46}{space 3}0.558{col 54}{space 4}-.0396696{col 67}{space 3} .0734694
{txt}{space 9}CH  {c |}{col 14}{res}{space 2}-.0993525{col 26}{space 2} .0284178{col 37}{space 1}   -3.50{col 46}{space 3}0.000{col 54}{space 4}-.1550692{col 67}{space 3}-.0436358
{txt}{space 9}DE  {c |}{col 14}{res}{space 2}-.0298273{col 26}{space 2} .0257726{col 37}{space 1}   -1.16{col 46}{space 3}0.247{col 54}{space 4}-.0803578{col 67}{space 3} .0207032
{txt}{space 9}DK  {c |}{col 14}{res}{space 2}-.0552137{col 26}{space 2}  .029582{col 37}{space 1}   -1.87{col 46}{space 3}0.062{col 54}{space 4} -.113213{col 67}{space 3} .0027856
{txt}{space 9}ES  {c |}{col 14}{res}{space 2}-.1162097{col 26}{space 2} .0280072{col 37}{space 1}   -4.15{col 46}{space 3}0.000{col 54}{space 4}-.1711215{col 67}{space 3} -.061298
{txt}{space 9}FI  {c |}{col 14}{res}{space 2}-.0031747{col 26}{space 2} .0276118{col 37}{space 1}   -0.11{col 46}{space 3}0.908{col 54}{space 4}-.0573112{col 67}{space 3} .0509618
{txt}{space 9}FR  {c |}{col 14}{res}{space 2} .0638195{col 26}{space 2} .0287702{col 37}{space 1}    2.22{col 46}{space 3}0.027{col 54}{space 4} .0074117{col 67}{space 3} .1202272
{txt}{space 9}GB  {c |}{col 14}{res}{space 2}-.0340625{col 26}{space 2} .0302942{col 37}{space 1}   -1.12{col 46}{space 3}0.261{col 54}{space 4}-.0934581{col 67}{space 3} .0253331
{txt}{space 9}IE  {c |}{col 14}{res}{space 2}-.1650356{col 26}{space 2} .0388508{col 37}{space 1}   -4.25{col 46}{space 3}0.000{col 54}{space 4}-.2412075{col 67}{space 3}-.0888637
{txt}{space 9}NL  {c |}{col 14}{res}{space 2}-.0591165{col 26}{space 2} .0270398{col 37}{space 1}   -2.19{col 46}{space 3}0.029{col 54}{space 4}-.1121316{col 67}{space 3}-.0061015
{txt}{space 9}NO  {c |}{col 14}{res}{space 2}-.1501464{col 26}{space 2} .0299264{col 37}{space 1}   -5.02{col 46}{space 3}0.000{col 54}{space 4}-.2088208{col 67}{space 3}-.0914719
{txt}{space 9}PT  {c |}{col 14}{res}{space 2} .0035266{col 26}{space 2} .0363929{col 37}{space 1}    0.10{col 46}{space 3}0.923{col 54}{space 4}-.0678264{col 67}{space 3} .0748796
{txt}{space 9}SE  {c |}{col 14}{res}{space 2}-.1700576{col 26}{space 2} .0290259{col 37}{space 1}   -5.86{col 46}{space 3}0.000{col 54}{space 4}-.2269665{col 67}{space 3}-.1131487
{txt}{space 12} {c |}
{space 4}iscoco10 {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0036901{col 26}{space 2}  .019573{col 37}{space 1}   -0.19{col 46}{space 3}0.850{col 54}{space 4}-.0420655{col 67}{space 3} .0346853
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.0026784{col 26}{space 2} .0198161{col 37}{space 1}   -0.14{col 46}{space 3}0.892{col 54}{space 4}-.0415305{col 67}{space 3} .0361737
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0128397{col 26}{space 2}  .028375{col 37}{space 1}    0.45{col 46}{space 3}0.651{col 54}{space 4}-.0427931{col 67}{space 3} .0684725
{txt}{space 10}5  {c |}{col 14}{res}{space 2} -.006152{col 26}{space 2} .0246966{col 37}{space 1}   -0.25{col 46}{space 3}0.803{col 54}{space 4}-.0545728{col 67}{space 3} .0422689
{txt}{space 10}6  {c |}{col 14}{res}{space 2} -.134301{col 26}{space 2} .0303555{col 37}{space 1}   -4.42{col 46}{space 3}0.000{col 54}{space 4}-.1938168{col 67}{space 3}-.0747852
{txt}{space 10}7  {c |}{col 14}{res}{space 2}-.0083138{col 26}{space 2} .0215092{col 37}{space 1}   -0.39{col 46}{space 3}0.699{col 54}{space 4}-.0504853{col 67}{space 3} .0338578
{txt}{space 10}8  {c |}{col 14}{res}{space 2} .0177771{col 26}{space 2}  .023939{col 37}{space 1}    0.74{col 46}{space 3}0.458{col 54}{space 4}-.0291584{col 67}{space 3} .0647126
{txt}{space 10}9  {c |}{col 14}{res}{space 2}-.0568311{col 26}{space 2} .0274095{col 37}{space 1}   -2.07{col 46}{space 3}0.038{col 54}{space 4} -.110571{col 67}{space 3}-.0030912
{txt}{space 12} {c |}
{space 5}1.rural {c |}{col 14}{res}{space 2} .0243386{col 26}{space 2} .0110197{col 37}{space 1}    2.21{col 46}{space 3}0.027{col 54}{space 4} .0027331{col 67}{space 3} .0459441
{txt}{space 3}1.married {c |}{col 14}{res}{space 2} .0340145{col 26}{space 2} .0114425{col 37}{space 1}    2.97{col 46}{space 3}0.003{col 54}{space 4} .0115799{col 67}{space 3} .0564491
{txt}{space 1}above_early {c |}{col 14}{res}{space 2} .1367988{col 26}{space 2} .0277714{col 37}{space 1}    4.93{col 46}{space 3}0.000{col 54}{space 4} .0823493{col 67}{space 3} .1912482
{txt}{space 2}above_full {c |}{col 14}{res}{space 2} .1866913{col 26}{space 2} .0342257{col 37}{space 1}    5.45{col 46}{space 3}0.000{col 54}{space 4} .1195874{col 67}{space 3} .2537952
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 4.489995{col 26}{space 2} .7507641{col 37}{space 1}    5.98{col 46}{space 3}0.000{col 54}{space 4} 3.018026{col 67}{space 3} 5.961964
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{res}
{txt}{col 1}Instrumental variables (2SLS) regression{col 51}Number of obs{col 67}= {res}     3,607
{txt}{col 1}{col 51}Wald chi2({res}31{txt}){col 67}= {res}    505.44
{txt}{col 1}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}{col 1}{col 51}R-squared{col 67}= {res}    0.1253
{txt}{col 51}Root MSE{col 67}=    {res} 2.0325

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     imtcjob{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}rtrd {c |}{col 14}{res}{space 2}-.3497524{col 26}{space 2} .6290113{col 37}{space 1}   -0.56{col 46}{space 3}0.578{col 54}{space 4}-1.582592{col 67}{space 3} .8830871
{txt}{space 6}eduyrs {c |}{col 14}{res}{space 2} .0492922{col 26}{space 2} .0104964{col 37}{space 1}    4.70{col 46}{space 3}0.000{col 54}{space 4} .0287197{col 67}{space 3} .0698647
{txt}{space 8}agea {c |}{col 14}{res}{space 2} .0040238{col 26}{space 2} .2732842{col 37}{space 1}    0.01{col 46}{space 3}0.988{col 54}{space 4}-.5316035{col 67}{space 3}  .539651
{txt}{space 2}agesquared {c |}{col 14}{res}{space 2} .0001299{col 26}{space 2} .0025522{col 37}{space 1}    0.05{col 46}{space 3}0.959{col 54}{space 4}-.0048723{col 67}{space 3}  .005132
{txt}{space 4}hinctnta {c |}{col 14}{res}{space 2}  .032821{col 26}{space 2} .0182317{col 37}{space 1}    1.80{col 46}{space 3}0.072{col 54}{space 4}-.0029125{col 67}{space 3} .0685544
{txt}{space 2}ever_child {c |}{col 14}{res}{space 2} .0146015{col 26}{space 2} .0954944{col 37}{space 1}    0.15{col 46}{space 3}0.878{col 54}{space 4} -.172564{col 67}{space 3}  .201767
{txt}{space 5}lrscale {c |}{col 14}{res}{space 2}-.0377729{col 26}{space 2} .0180187{col 37}{space 1}   -2.10{col 46}{space 3}0.036{col 54}{space 4}-.0730888{col 67}{space 3} -.002457
{txt}{space 5}brncntr {c |}{col 14}{res}{space 2} .5804234{col 26}{space 2} .1473285{col 37}{space 1}    3.94{col 46}{space 3}0.000{col 54}{space 4} .2916649{col 67}{space 3} .8691818
{txt}{space 12} {c |}
{space 5}country {c |}
{space 9}BE  {c |}{col 14}{res}{space 2} .1038935{col 26}{space 2}  .213721{col 37}{space 1}    0.49{col 46}{space 3}0.627{col 54}{space 4}-.3149919{col 67}{space 3} .5227789
{txt}{space 9}CH  {c |}{col 14}{res}{space 2}  .984907{col 26}{space 2}  .216469{col 37}{space 1}    4.55{col 46}{space 3}0.000{col 54}{space 4} .5606355{col 67}{space 3} 1.409178
{txt}{space 9}DE  {c |}{col 14}{res}{space 2} 1.180284{col 26}{space 2} .1860529{col 37}{space 1}    6.34{col 46}{space 3}0.000{col 54}{space 4} .8156269{col 67}{space 3} 1.544941
{txt}{space 9}DK  {c |}{col 14}{res}{space 2} .9479638{col 26}{space 2} .2106751{col 37}{space 1}    4.50{col 46}{space 3}0.000{col 54}{space 4} .5350482{col 67}{space 3} 1.360879
{txt}{space 9}ES  {c |}{col 14}{res}{space 2} .3635221{col 26}{space 2} .2471037{col 37}{space 1}    1.47{col 46}{space 3}0.141{col 54}{space 4}-.1207922{col 67}{space 3} .8478364
{txt}{space 9}FI  {c |}{col 14}{res}{space 2} 1.155468{col 26}{space 2} .1947932{col 37}{space 1}    5.93{col 46}{space 3}0.000{col 54}{space 4} .7736804{col 67}{space 3} 1.537256
{txt}{space 9}FR  {c |}{col 14}{res}{space 2} .6422796{col 26}{space 2} .2246419{col 37}{space 1}    2.86{col 46}{space 3}0.004{col 54}{space 4} .2019895{col 67}{space 3}  1.08257
{txt}{space 9}GB  {c |}{col 14}{res}{space 2} .2534005{col 26}{space 2} .2143028{col 37}{space 1}    1.18{col 46}{space 3}0.237{col 54}{space 4}-.1666252{col 67}{space 3} .6734263
{txt}{space 9}IE  {c |}{col 14}{res}{space 2} .0681887{col 26}{space 2} .2236251{col 37}{space 1}    0.30{col 46}{space 3}0.760{col 54}{space 4}-.3701084{col 67}{space 3} .5064859
{txt}{space 9}NL  {c |}{col 14}{res}{space 2} .3730772{col 26}{space 2}  .197423{col 37}{space 1}    1.89{col 46}{space 3}0.059{col 54}{space 4}-.0138647{col 67}{space 3} .7600191
{txt}{space 9}NO  {c |}{col 14}{res}{space 2} 1.517209{col 26}{space 2} .2185428{col 37}{space 1}    6.94{col 46}{space 3}0.000{col 54}{space 4} 1.088873{col 67}{space 3} 1.945545
{txt}{space 9}PT  {c |}{col 14}{res}{space 2} .9802668{col 26}{space 2} .2737374{col 37}{space 1}    3.58{col 46}{space 3}0.000{col 54}{space 4} .4437514{col 67}{space 3} 1.516782
{txt}{space 9}SE  {c |}{col 14}{res}{space 2} 1.631637{col 26}{space 2} .2225312{col 37}{space 1}    7.33{col 46}{space 3}0.000{col 54}{space 4} 1.195484{col 67}{space 3}  2.06779
{txt}{space 12} {c |}
{space 4}iscoco10 {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0797548{col 26}{space 2} .1112632{col 37}{space 1}   -0.72{col 46}{space 3}0.473{col 54}{space 4}-.2978266{col 67}{space 3}  .138317
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.2296658{col 26}{space 2} .1175158{col 37}{space 1}   -1.95{col 46}{space 3}0.051{col 54}{space 4}-.4599925{col 67}{space 3} .0006608
{txt}{space 10}4  {c |}{col 14}{res}{space 2} -.176777{col 26}{space 2} .1639759{col 37}{space 1}   -1.08{col 46}{space 3}0.281{col 54}{space 4}-.4981639{col 67}{space 3}   .14461
{txt}{space 10}5  {c |}{col 14}{res}{space 2}-.6252572{col 26}{space 2} .1589671{col 37}{space 1}   -3.93{col 46}{space 3}0.000{col 54}{space 4}-.9368271{col 67}{space 3}-.3136874
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.7801499{col 26}{space 2} .2371887{col 37}{space 1}   -3.29{col 46}{space 3}0.001{col 54}{space 4}-1.245031{col 67}{space 3}-.3152686
{txt}{space 10}7  {c |}{col 14}{res}{space 2}-.6956587{col 26}{space 2} .1342639{col 37}{space 1}   -5.18{col 46}{space 3}0.000{col 54}{space 4}-.9588111{col 67}{space 3}-.4325063
{txt}{space 10}8  {c |}{col 14}{res}{space 2} -.753782{col 26}{space 2} .1520448{col 37}{space 1}   -4.96{col 46}{space 3}0.000{col 54}{space 4}-1.051784{col 67}{space 3}-.4557797
{txt}{space 10}9  {c |}{col 14}{res}{space 2}-.8237455{col 26}{space 2}  .188278{col 37}{space 1}   -4.38{col 46}{space 3}0.000{col 54}{space 4}-1.192764{col 67}{space 3}-.4547275
{txt}{space 12} {c |}
{space 5}1.rural {c |}{col 14}{res}{space 2}-.1197463{col 26}{space 2} .0745705{col 37}{space 1}   -1.61{col 46}{space 3}0.108{col 54}{space 4}-.2659018{col 67}{space 3} .0264092
{txt}{space 3}1.married {c |}{col 14}{res}{space 2}-.0245947{col 26}{space 2} .0830714{col 37}{space 1}   -0.30{col 46}{space 3}0.767{col 54}{space 4}-.1874117{col 67}{space 3} .1382223
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}  3.07744{col 26}{space 2} 7.455606{col 37}{space 1}    0.41{col 46}{space 3}0.680{col 54}{space 4}-11.53528{col 67}{space 3} 17.69016
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 15 26}Instrumented:{space 2}rtrd{p_end}
{p 0 15 26}Instruments:{space 3}eduyrs agea agesquared hinctnta ever_child lrscale brncntr 2.country 3.country 5.country 6.country 8.country 9.country 10.country 11.country 13.country 16.country 17.country 19.country 20.country 2.iscoco10 3.iscoco10 4.iscoco10 5.iscoco10 6.iscoco10 7.iscoco10 8.iscoco10 9.iscoco10 1.rural 1.married above_early above_full{p_end}

{com}. estat firststage

{txt}{col 3}First-stage regression summary statistics
{res}{col 3}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 12}{hline 12}{hline 12}
{col 16}{c |}{col 29}Adjusted{col 43}Partial{col 57}Robust
{col 3}{text}    Variable{col 16}{c |}   R-sq.{col 29}   R-sq.{col 41}    R-sq.{col 53}  F(2,3574){col 65}  Prob > F
{res}{col 3}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 12}{hline 12}{hline 12}
{col 3}{text}        rtrd{col 16}{c |}{result}{space 2}0.5718{col 29}{space 2}0.5680{col 41}{space 3}0.0329{col 53}{space 3} 37.8449{col 65}{space 3}0.0000
{col 3}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 12}{hline 12}{hline 12}

{res}
{com}. ivregress 2sls imbleco (rtrd=above_early above_full) eduyrs agea agesquared hinctnta ever_child lrscale brncntr i.country i.iscoco10 i.rural i.married, robust first
{res}
{txt}First-stage regressions
{hline 23}
{res}
{txt}{col 49}Number of obs{col 67}= {res}     3,598
{txt}{col 49}F({res}  32{txt},{res}   3565{txt}){col 67}= {res}    235.44
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.5707
{txt}{col 49}Adj R-squared{col 67}= {res}    0.5668
{txt}{col 49}Root MSE{col 67}= {res}    0.3081

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}        rtrd{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}eduyrs {c |}{col 14}{res}{space 2}-.0031663{col 26}{space 2} .0015428{col 37}{space 1}   -2.05{col 46}{space 3}0.040{col 54}{space 4}-.0061911{col 67}{space 3}-.0001414
{txt}{space 8}agea {c |}{col 14}{res}{space 2}-.1766063{col 26}{space 2} .0271488{col 37}{space 1}   -6.51{col 46}{space 3}0.000{col 54}{space 4} -.229835{col 67}{space 3}-.1233776
{txt}{space 2}agesquared {c |}{col 14}{res}{space 2} .0017862{col 26}{space 2} .0002431{col 37}{space 1}    7.35{col 46}{space 3}0.000{col 54}{space 4} .0013097{col 67}{space 3} .0022628
{txt}{space 4}hinctnta {c |}{col 14}{res}{space 2}-.0108343{col 26}{space 2} .0025408{col 37}{space 1}   -4.26{col 46}{space 3}0.000{col 54}{space 4}-.0158158{col 67}{space 3}-.0058528
{txt}{space 2}ever_child {c |}{col 14}{res}{space 2} .0028465{col 26}{space 2} .0144186{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.025423{col 67}{space 3} .0311159
{txt}{space 5}lrscale {c |}{col 14}{res}{space 2} .0010833{col 26}{space 2} .0025051{col 37}{space 1}    0.43{col 46}{space 3}0.665{col 54}{space 4}-.0038282{col 67}{space 3} .0059949
{txt}{space 5}brncntr {c |}{col 14}{res}{space 2}-.0669298{col 26}{space 2} .0166962{col 37}{space 1}   -4.01{col 46}{space 3}0.000{col 54}{space 4} -.099665{col 67}{space 3}-.0341947
{txt}{space 12} {c |}
{space 5}country {c |}
{space 9}BE  {c |}{col 14}{res}{space 2} .0169991{col 26}{space 2}  .028464{col 37}{space 1}    0.60{col 46}{space 3}0.550{col 54}{space 4}-.0388083{col 67}{space 3} .0728065
{txt}{space 9}CH  {c |}{col 14}{res}{space 2}-.0941424{col 26}{space 2} .0279843{col 37}{space 1}   -3.36{col 46}{space 3}0.001{col 54}{space 4}-.1490092{col 67}{space 3}-.0392755
{txt}{space 9}DE  {c |}{col 14}{res}{space 2}-.0262215{col 26}{space 2} .0255412{col 37}{space 1}   -1.03{col 46}{space 3}0.305{col 54}{space 4}-.0762984{col 67}{space 3} .0238553
{txt}{space 9}DK  {c |}{col 14}{res}{space 2}-.0503411{col 26}{space 2} .0291975{col 37}{space 1}   -1.72{col 46}{space 3}0.085{col 54}{space 4}-.1075866{col 67}{space 3} .0069043
{txt}{space 9}ES  {c |}{col 14}{res}{space 2}-.1134625{col 26}{space 2} .0276004{col 37}{space 1}   -4.11{col 46}{space 3}0.000{col 54}{space 4}-.1675767{col 67}{space 3}-.0593483
{txt}{space 9}FI  {c |}{col 14}{res}{space 2}-.0014538{col 26}{space 2} .0273813{col 37}{space 1}   -0.05{col 46}{space 3}0.958{col 54}{space 4}-.0551383{col 67}{space 3} .0522307
{txt}{space 9}FR  {c |}{col 14}{res}{space 2} .0613127{col 26}{space 2} .0284069{col 37}{space 1}    2.16{col 46}{space 3}0.031{col 54}{space 4} .0056172{col 67}{space 3} .1170082
{txt}{space 9}GB  {c |}{col 14}{res}{space 2}-.0320779{col 26}{space 2}  .030097{col 37}{space 1}   -1.07{col 46}{space 3}0.287{col 54}{space 4}-.0910869{col 67}{space 3} .0269311
{txt}{space 9}IE  {c |}{col 14}{res}{space 2}-.1493386{col 26}{space 2} .0386229{col 37}{space 1}   -3.87{col 46}{space 3}0.000{col 54}{space 4}-.2250638{col 67}{space 3}-.0736134
{txt}{space 9}NL  {c |}{col 14}{res}{space 2}-.0579251{col 26}{space 2} .0269097{col 37}{space 1}   -2.15{col 46}{space 3}0.031{col 54}{space 4}-.1106851{col 67}{space 3} -.005165
{txt}{space 9}NO  {c |}{col 14}{res}{space 2}-.1478949{col 26}{space 2} .0296305{col 37}{space 1}   -4.99{col 46}{space 3}0.000{col 54}{space 4}-.2059894{col 67}{space 3}-.0898005
{txt}{space 9}PT  {c |}{col 14}{res}{space 2} .0057063{col 26}{space 2} .0363785{col 37}{space 1}    0.16{col 46}{space 3}0.875{col 54}{space 4}-.0656185{col 67}{space 3} .0770311
{txt}{space 9}SE  {c |}{col 14}{res}{space 2}-.1745512{col 26}{space 2} .0289412{col 37}{space 1}   -6.03{col 46}{space 3}0.000{col 54}{space 4}-.2312941{col 67}{space 3}-.1178082
{txt}{space 12} {c |}
{space 4}iscoco10 {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0052619{col 26}{space 2} .0195831{col 37}{space 1}   -0.27{col 46}{space 3}0.788{col 54}{space 4}-.0436572{col 67}{space 3} .0331333
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.0063704{col 26}{space 2} .0197458{col 37}{space 1}   -0.32{col 46}{space 3}0.747{col 54}{space 4}-.0450846{col 67}{space 3} .0323438
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0103562{col 26}{space 2} .0290625{col 37}{space 1}    0.36{col 46}{space 3}0.722{col 54}{space 4}-.0466245{col 67}{space 3}  .067337
{txt}{space 10}5  {c |}{col 14}{res}{space 2} -.008683{col 26}{space 2} .0245368{col 37}{space 1}   -0.35{col 46}{space 3}0.723{col 54}{space 4}-.0567905{col 67}{space 3} .0394245
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.1335112{col 26}{space 2} .0309297{col 37}{space 1}   -4.32{col 46}{space 3}0.000{col 54}{space 4}-.1941529{col 67}{space 3}-.0728694
{txt}{space 10}7  {c |}{col 14}{res}{space 2}-.0085621{col 26}{space 2} .0214277{col 37}{space 1}   -0.40{col 46}{space 3}0.689{col 54}{space 4}-.0505739{col 67}{space 3} .0334498
{txt}{space 10}8  {c |}{col 14}{res}{space 2}  .015675{col 26}{space 2} .0239764{col 37}{space 1}    0.65{col 46}{space 3}0.513{col 54}{space 4}-.0313339{col 67}{space 3} .0626838
{txt}{space 10}9  {c |}{col 14}{res}{space 2}-.0600981{col 26}{space 2} .0271913{col 37}{space 1}   -2.21{col 46}{space 3}0.027{col 54}{space 4}-.1134102{col 67}{space 3} -.006786
{txt}{space 12} {c |}
{space 5}1.rural {c |}{col 14}{res}{space 2} .0245094{col 26}{space 2} .0110394{col 37}{space 1}    2.22{col 46}{space 3}0.026{col 54}{space 4} .0028653{col 67}{space 3} .0461536
{txt}{space 3}1.married {c |}{col 14}{res}{space 2} .0333331{col 26}{space 2} .0114221{col 37}{space 1}    2.92{col 46}{space 3}0.004{col 54}{space 4} .0109386{col 67}{space 3} .0557276
{txt}{space 1}above_early {c |}{col 14}{res}{space 2} .1358176{col 26}{space 2} .0277597{col 37}{space 1}    4.89{col 46}{space 3}0.000{col 54}{space 4} .0813911{col 67}{space 3} .1902441
{txt}{space 2}above_full {c |}{col 14}{res}{space 2} .1834587{col 26}{space 2} .0343086{col 37}{space 1}    5.35{col 46}{space 3}0.000{col 54}{space 4} .1161922{col 67}{space 3} .2507251
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 4.551806{col 26}{space 2} .7564798{col 37}{space 1}    6.02{col 46}{space 3}0.000{col 54}{space 4} 3.068629{col 67}{space 3} 6.034982
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{res}
{txt}{col 1}Instrumental variables (2SLS) regression{col 51}Number of obs{col 67}= {res}     3,598
{txt}{col 1}{col 51}Wald chi2({res}31{txt}){col 67}= {res}    399.97
{txt}{col 1}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}{col 1}{col 51}R-squared{col 67}= {res}    0.0961
{txt}{col 51}Root MSE{col 67}=    {res} 2.1018

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     imbleco{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}rtrd {c |}{col 14}{res}{space 2}-.3500061{col 26}{space 2} .6395247{col 37}{space 1}   -0.55{col 46}{space 3}0.584{col 54}{space 4}-1.603452{col 67}{space 3} .9034393
{txt}{space 6}eduyrs {c |}{col 14}{res}{space 2} .0407758{col 26}{space 2} .0109553{col 37}{space 1}    3.72{col 46}{space 3}0.000{col 54}{space 4} .0193037{col 67}{space 3} .0622479
{txt}{space 8}agea {c |}{col 14}{res}{space 2} .0691242{col 26}{space 2} .2796547{col 37}{space 1}    0.25{col 46}{space 3}0.805{col 54}{space 4} -.478989{col 67}{space 3} .6172374
{txt}{space 2}agesquared {c |}{col 14}{res}{space 2}  -.00039{col 26}{space 2} .0026089{col 37}{space 1}   -0.15{col 46}{space 3}0.881{col 54}{space 4}-.0055034{col 67}{space 3} .0047235
{txt}{space 4}hinctnta {c |}{col 14}{res}{space 2} .0296447{col 26}{space 2} .0186621{col 37}{space 1}    1.59{col 46}{space 3}0.112{col 54}{space 4}-.0069323{col 67}{space 3} .0662217
{txt}{space 2}ever_child {c |}{col 14}{res}{space 2}-.2234063{col 26}{space 2} .0985256{col 37}{space 1}   -2.27{col 46}{space 3}0.023{col 54}{space 4} -.416513{col 67}{space 3}-.0302997
{txt}{space 5}lrscale {c |}{col 14}{res}{space 2}-.1470438{col 26}{space 2}  .018521{col 37}{space 1}   -7.94{col 46}{space 3}0.000{col 54}{space 4}-.1833442{col 67}{space 3}-.1107434
{txt}{space 5}brncntr {c |}{col 14}{res}{space 2} .7639226{col 26}{space 2} .1485089{col 37}{space 1}    5.14{col 46}{space 3}0.000{col 54}{space 4} .4728506{col 67}{space 3} 1.054995
{txt}{space 12} {c |}
{space 5}country {c |}
{space 9}BE  {c |}{col 14}{res}{space 2} .5140557{col 26}{space 2} .2158793{col 37}{space 1}    2.38{col 46}{space 3}0.017{col 54}{space 4} .0909401{col 67}{space 3} .9371713
{txt}{space 9}CH  {c |}{col 14}{res}{space 2} .6361739{col 26}{space 2} .2268142{col 37}{space 1}    2.80{col 46}{space 3}0.005{col 54}{space 4} .1916262{col 67}{space 3} 1.080722
{txt}{space 9}DE  {c |}{col 14}{res}{space 2} 1.154748{col 26}{space 2}  .187395{col 37}{space 1}    6.16{col 46}{space 3}0.000{col 54}{space 4} .7874609{col 67}{space 3} 1.522036
{txt}{space 9}DK  {c |}{col 14}{res}{space 2} 1.107354{col 26}{space 2} .2180597{col 37}{space 1}    5.08{col 46}{space 3}0.000{col 54}{space 4} .6799646{col 67}{space 3} 1.534743
{txt}{space 9}ES  {c |}{col 14}{res}{space 2} .2680857{col 26}{space 2} .2306832{col 37}{space 1}    1.16{col 46}{space 3}0.245{col 54}{space 4}-.1840451{col 67}{space 3} .7202164
{txt}{space 9}FI  {c |}{col 14}{res}{space 2} .9388226{col 26}{space 2} .2011258{col 37}{space 1}    4.67{col 46}{space 3}0.000{col 54}{space 4} .5446233{col 67}{space 3} 1.333022
{txt}{space 9}FR  {c |}{col 14}{res}{space 2} .8705437{col 26}{space 2} .2254351{col 37}{space 1}    3.86{col 46}{space 3}0.000{col 54}{space 4} .4286991{col 67}{space 3} 1.312388
{txt}{space 9}GB  {c |}{col 14}{res}{space 2} .5494492{col 26}{space 2} .2180993{col 37}{space 1}    2.52{col 46}{space 3}0.012{col 54}{space 4} .1219824{col 67}{space 3} .9769161
{txt}{space 9}IE  {c |}{col 14}{res}{space 2}   .56065{col 26}{space 2} .2320854{col 37}{space 1}    2.42{col 46}{space 3}0.016{col 54}{space 4} .1057709{col 67}{space 3} 1.015529
{txt}{space 9}NL  {c |}{col 14}{res}{space 2} .7728453{col 26}{space 2} .1988164{col 37}{space 1}    3.89{col 46}{space 3}0.000{col 54}{space 4} .3831724{col 67}{space 3} 1.162518
{txt}{space 9}NO  {c |}{col 14}{res}{space 2} 1.167401{col 26}{space 2} .2220851{col 37}{space 1}    5.26{col 46}{space 3}0.000{col 54}{space 4} .7321222{col 67}{space 3}  1.60268
{txt}{space 9}PT  {c |}{col 14}{res}{space 2} 1.593894{col 26}{space 2} .2629096{col 37}{space 1}    6.06{col 46}{space 3}0.000{col 54}{space 4} 1.078601{col 67}{space 3} 2.109188
{txt}{space 9}SE  {c |}{col 14}{res}{space 2} 1.376395{col 26}{space 2} .2326101{col 37}{space 1}    5.92{col 46}{space 3}0.000{col 54}{space 4} .9204875{col 67}{space 3} 1.832302
{txt}{space 12} {c |}
{space 4}iscoco10 {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0119689{col 26}{space 2} .1254776{col 37}{space 1}   -0.10{col 46}{space 3}0.924{col 54}{space 4}-.2579006{col 67}{space 3} .2339628
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.3798014{col 26}{space 2} .1251213{col 37}{space 1}   -3.04{col 46}{space 3}0.002{col 54}{space 4}-.6250346{col 67}{space 3}-.1345682
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.1733158{col 26}{space 2} .1825347{col 37}{space 1}   -0.95{col 46}{space 3}0.342{col 54}{space 4}-.5310772{col 67}{space 3} .1844455
{txt}{space 10}5  {c |}{col 14}{res}{space 2}-.4543807{col 26}{space 2} .1656246{col 37}{space 1}   -2.74{col 46}{space 3}0.006{col 54}{space 4}-.7789988{col 67}{space 3}-.1297625
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.7790593{col 26}{space 2} .2347841{col 37}{space 1}   -3.32{col 46}{space 3}0.001{col 54}{space 4}-1.239228{col 67}{space 3}-.3188909
{txt}{space 10}7  {c |}{col 14}{res}{space 2}-.6396805{col 26}{space 2}  .139697{col 37}{space 1}   -4.58{col 46}{space 3}0.000{col 54}{space 4}-.9134816{col 67}{space 3}-.3658793
{txt}{space 10}8  {c |}{col 14}{res}{space 2}-.6131608{col 26}{space 2} .1564509{col 37}{space 1}   -3.92{col 46}{space 3}0.000{col 54}{space 4}-.9197989{col 67}{space 3}-.3065227
{txt}{space 10}9  {c |}{col 14}{res}{space 2}-.6252687{col 26}{space 2} .1895081{col 37}{space 1}   -3.30{col 46}{space 3}0.001{col 54}{space 4}-.9966978{col 67}{space 3}-.2538395
{txt}{space 12} {c |}
{space 5}1.rural {c |}{col 14}{res}{space 2} .0258745{col 26}{space 2} .0753287{col 37}{space 1}    0.34{col 46}{space 3}0.731{col 54}{space 4}-.1217671{col 67}{space 3} .1735162
{txt}{space 3}1.married {c |}{col 14}{res}{space 2} .1177806{col 26}{space 2} .0873887{col 37}{space 1}    1.35{col 46}{space 3}0.178{col 54}{space 4}-.0534982{col 67}{space 3} .2890593
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .8858737{col 26}{space 2} 7.646279{col 37}{space 1}    0.12{col 46}{space 3}0.908{col 54}{space 4}-14.10056{col 67}{space 3} 15.87231
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 15 26}Instrumented:{space 2}rtrd{p_end}
{p 0 15 26}Instruments:{space 3}eduyrs agea agesquared hinctnta ever_child lrscale brncntr 2.country 3.country 5.country 6.country 8.country 9.country 10.country 11.country 13.country 16.country 17.country 19.country 20.country 2.iscoco10 3.iscoco10 4.iscoco10 5.iscoco10 6.iscoco10 7.iscoco10 8.iscoco10 9.iscoco10 1.rural 1.married above_early above_full{p_end}

{com}. estat firststage

{txt}{col 3}First-stage regression summary statistics
{res}{col 3}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 12}{hline 12}{hline 12}
{col 16}{c |}{col 29}Adjusted{col 43}Partial{col 57}Robust
{col 3}{text}    Variable{col 16}{c |}   R-sq.{col 29}   R-sq.{col 41}    R-sq.{col 53}  F(2,3565){col 65}  Prob > F
{res}{col 3}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 12}{hline 12}{hline 12}
{col 3}{text}        rtrd{col 16}{c |}{result}{space 2}0.5707{col 29}{space 2}0.5668{col 41}{space 3}0.0322{col 53}{space 3} 36.9017{col 65}{space 3}0.0000
{col 3}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 12}{hline 12}{hline 12}

{res}
{com}. ***********************

. ***survey experiment***

. ***********************

. graph bar if rtrd==1, over(entry_allow) over(treatment) 
{res}
{com}. ologit entry_allow i.treatment i.country i.iscoco10

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-2629.4538}  
Iteration 1:{space 3}log likelihood = {res:-2405.2617}  
Iteration 2:{space 3}log likelihood = {res:-2401.1596}  
Iteration 3:{space 3}log likelihood = {res:-2401.1461}  
Iteration 4:{space 3}log likelihood = {res:-2401.1461}  
{res}
{txt}Ordered logistic regression{col 49}Number of obs{col 67}= {res}     1,995
{txt}{col 49}LR chi2({res}22{txt}){col 67}= {res}    456.62
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-2401.1461{txt}{col 49}Pseudo R2{col 67}= {res}    0.0868

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1} entry_allow{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}2.treatment {c |}{col 14}{res}{space 2} 1.416297{col 26}{space 2} .0884668{col 37}{space 1}   16.01{col 46}{space 3}0.000{col 54}{space 4} 1.242905{col 67}{space 3} 1.589688
{txt}{space 12} {c |}
{space 5}country {c |}
{space 9}BE  {c |}{col 14}{res}{space 2}-.3630939{col 26}{space 2} .2303076{col 37}{space 1}   -1.58{col 46}{space 3}0.115{col 54}{space 4}-.8144884{col 67}{space 3} .0883006
{txt}{space 9}CH  {c |}{col 14}{res}{space 2}-.5194926{col 26}{space 2}  .239481{col 37}{space 1}   -2.17{col 46}{space 3}0.030{col 54}{space 4}-.9888668{col 67}{space 3}-.0501183
{txt}{space 9}DE  {c |}{col 14}{res}{space 2}-1.077542{col 26}{space 2}  .206467{col 37}{space 1}   -5.22{col 46}{space 3}0.000{col 54}{space 4} -1.48221{col 67}{space 3}-.6728746
{txt}{space 9}DK  {c |}{col 14}{res}{space 2}-.6792614{col 26}{space 2} .2379068{col 37}{space 1}   -2.86{col 46}{space 3}0.004{col 54}{space 4} -1.14555{col 67}{space 3}-.2129727
{txt}{space 9}ES  {c |}{col 14}{res}{space 2}-.1900014{col 26}{space 2} .2322598{col 37}{space 1}   -0.82{col 46}{space 3}0.413{col 54}{space 4}-.6452222{col 67}{space 3} .2652193
{txt}{space 9}FI  {c |}{col 14}{res}{space 2}  .190212{col 26}{space 2} .2095208{col 37}{space 1}    0.91{col 46}{space 3}0.364{col 54}{space 4}-.2204413{col 67}{space 3} .6008652
{txt}{space 9}FR  {c |}{col 14}{res}{space 2}-.6147415{col 26}{space 2} .2245902{col 37}{space 1}   -2.74{col 46}{space 3}0.006{col 54}{space 4} -1.05493{col 67}{space 3}-.1745528
{txt}{space 9}GB  {c |}{col 14}{res}{space 2}-.0539398{col 26}{space 2} .2192024{col 37}{space 1}   -0.25{col 46}{space 3}0.806{col 54}{space 4}-.4835687{col 67}{space 3} .3756891
{txt}{space 9}IE  {c |}{col 14}{res}{space 2}  .484534{col 26}{space 2} .2180346{col 37}{space 1}    2.22{col 46}{space 3}0.026{col 54}{space 4} .0571941{col 67}{space 3} .9118739
{txt}{space 9}NL  {c |}{col 14}{res}{space 2}-.2022105{col 26}{space 2} .2266248{col 37}{space 1}   -0.89{col 46}{space 3}0.372{col 54}{space 4} -.646387{col 67}{space 3}  .241966
{txt}{space 9}NO  {c |}{col 14}{res}{space 2}-.2971791{col 26}{space 2}  .235117{col 37}{space 1}   -1.26{col 46}{space 3}0.206{col 54}{space 4}    -.758{col 67}{space 3} .1636418
{txt}{space 9}PT  {c |}{col 14}{res}{space 2}-.4206358{col 26}{space 2} .2767607{col 37}{space 1}   -1.52{col 46}{space 3}0.129{col 54}{space 4}-.9630769{col 67}{space 3} .1218053
{txt}{space 9}SE  {c |}{col 14}{res}{space 2}-1.191323{col 26}{space 2} .2387738{col 37}{space 1}   -4.99{col 46}{space 3}0.000{col 54}{space 4}-1.659311{col 67}{space 3}-.7233348
{txt}{space 12} {c |}
{space 4}iscoco10 {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0513162{col 26}{space 2} .1556648{col 37}{space 1}   -0.33{col 46}{space 3}0.742{col 54}{space 4}-.3564136{col 67}{space 3} .2537812
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .1472909{col 26}{space 2} .1598446{col 37}{space 1}    0.92{col 46}{space 3}0.357{col 54}{space 4}-.1659987{col 67}{space 3} .4605806
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .3846409{col 26}{space 2} .2207662{col 37}{space 1}    1.74{col 46}{space 3}0.081{col 54}{space 4}-.0480528{col 67}{space 3} .8173346
{txt}{space 10}5  {c |}{col 14}{res}{space 2} .5087966{col 26}{space 2} .1868089{col 37}{space 1}    2.72{col 46}{space 3}0.006{col 54}{space 4}  .142658{col 67}{space 3} .8749353
{txt}{space 10}6  {c |}{col 14}{res}{space 2} 1.036105{col 26}{space 2} .2354401{col 37}{space 1}    4.40{col 46}{space 3}0.000{col 54}{space 4} .5746505{col 67}{space 3} 1.497559
{txt}{space 10}7  {c |}{col 14}{res}{space 2} .7634599{col 26}{space 2} .1536479{col 37}{space 1}    4.97{col 46}{space 3}0.000{col 54}{space 4} .4623155{col 67}{space 3} 1.064604
{txt}{space 10}8  {c |}{col 14}{res}{space 2} .7711785{col 26}{space 2} .1719967{col 37}{space 1}    4.48{col 46}{space 3}0.000{col 54}{space 4} .4340712{col 67}{space 3} 1.108286
{txt}{space 10}9  {c |}{col 14}{res}{space 2} .6379864{col 26}{space 2} .2017921{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .2424811{col 67}{space 3} 1.033492
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}/cut1 {c |}{col 14}{res}{space 2}-1.294305{col 26}{space 2} .2107689{col 54}{space 4}-1.707405{col 67}{space 3}-.8812058
{txt}{space 7}/cut2 {c |}{col 14}{res}{space 2} .8441255{col 26}{space 2} .2081159{col 54}{space 4} .4362258{col 67}{space 3} 1.252025
{txt}{space 7}/cut3 {c |}{col 14}{res}{space 2} 2.555821{col 26}{space 2} .2152045{col 54}{space 4} 2.134028{col 67}{space 3} 2.977614
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. ologit entry_allow i.treatment i.country i.iscoco10 if rtrd==0 

{res}{txt}Iteration 0:{space 3}log likelihood = {res: -1808.275}  
Iteration 1:{space 3}log likelihood = {res:-1654.3156}  
Iteration 2:{space 3}log likelihood = {res:-1651.4349}  
Iteration 3:{space 3}log likelihood = {res:-1651.4257}  
Iteration 4:{space 3}log likelihood = {res:-1651.4257}  
{res}
{txt}Ordered logistic regression{col 49}Number of obs{col 67}= {res}     1,378
{txt}{col 49}LR chi2({res}22{txt}){col 67}= {res}    313.70
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-1651.4257{txt}{col 49}Pseudo R2{col 67}= {res}    0.0867

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1} entry_allow{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}2.treatment {c |}{col 14}{res}{space 2} 1.384323{col 26}{space 2} .1066486{col 37}{space 1}   12.98{col 46}{space 3}0.000{col 54}{space 4} 1.175296{col 67}{space 3}  1.59335
{txt}{space 12} {c |}
{space 5}country {c |}
{space 9}BE  {c |}{col 14}{res}{space 2}-.2508477{col 26}{space 2} .2808199{col 37}{space 1}   -0.89{col 46}{space 3}0.372{col 54}{space 4}-.8012446{col 67}{space 3} .2995493
{txt}{space 9}CH  {c |}{col 14}{res}{space 2}-.3533065{col 26}{space 2} .2888297{col 37}{space 1}   -1.22{col 46}{space 3}0.221{col 54}{space 4}-.9194023{col 67}{space 3} .2127894
{txt}{space 9}DE  {c |}{col 14}{res}{space 2}-1.033044{col 26}{space 2} .2489865{col 37}{space 1}   -4.15{col 46}{space 3}0.000{col 54}{space 4}-1.521049{col 67}{space 3}-.5450395
{txt}{space 9}DK  {c |}{col 14}{res}{space 2}-.5772139{col 26}{space 2} .2844263{col 37}{space 1}   -2.03{col 46}{space 3}0.042{col 54}{space 4}-1.134679{col 67}{space 3}-.0197485
{txt}{space 9}ES  {c |}{col 14}{res}{space 2}-.1127614{col 26}{space 2} .2758449{col 37}{space 1}   -0.41{col 46}{space 3}0.683{col 54}{space 4}-.6534074{col 67}{space 3} .4278846
{txt}{space 9}FI  {c |}{col 14}{res}{space 2} .2842178{col 26}{space 2} .2614388{col 37}{space 1}    1.09{col 46}{space 3}0.277{col 54}{space 4}-.2281929{col 67}{space 3} .7966285
{txt}{space 9}FR  {c |}{col 14}{res}{space 2}-.6751935{col 26}{space 2} .2841737{col 37}{space 1}   -2.38{col 46}{space 3}0.018{col 54}{space 4}-1.232164{col 67}{space 3}-.1182233
{txt}{space 9}GB  {c |}{col 14}{res}{space 2}-.0987867{col 26}{space 2} .2645684{col 37}{space 1}   -0.37{col 46}{space 3}0.709{col 54}{space 4}-.6173312{col 67}{space 3} .4197579
{txt}{space 9}IE  {c |}{col 14}{res}{space 2} .5343438{col 26}{space 2} .2645142{col 37}{space 1}    2.02{col 46}{space 3}0.043{col 54}{space 4} .0159056{col 67}{space 3} 1.052782
{txt}{space 9}NL  {c |}{col 14}{res}{space 2}-.0744635{col 26}{space 2} .2719224{col 37}{space 1}   -0.27{col 46}{space 3}0.784{col 54}{space 4}-.6074216{col 67}{space 3} .4584945
{txt}{space 9}NO  {c |}{col 14}{res}{space 2} -.320982{col 26}{space 2} .2764468{col 37}{space 1}   -1.16{col 46}{space 3}0.246{col 54}{space 4}-.8628078{col 67}{space 3} .2208438
{txt}{space 9}PT  {c |}{col 14}{res}{space 2}-.4117782{col 26}{space 2} .3570033{col 37}{space 1}   -1.15{col 46}{space 3}0.249{col 54}{space 4}-1.111492{col 67}{space 3} .2879353
{txt}{space 9}SE  {c |}{col 14}{res}{space 2}-1.235672{col 26}{space 2} .2802797{col 37}{space 1}   -4.41{col 46}{space 3}0.000{col 54}{space 4} -1.78501{col 67}{space 3} -.686334
{txt}{space 12} {c |}
{space 4}iscoco10 {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.2786619{col 26}{space 2} .1848621{col 37}{space 1}   -1.51{col 46}{space 3}0.132{col 54}{space 4} -.640985{col 67}{space 3} .0836612
{txt}{space 10}3  {c |}{col 14}{res}{space 2}  -.02642{col 26}{space 2} .1907625{col 37}{space 1}   -0.14{col 46}{space 3}0.890{col 54}{space 4}-.4003077{col 67}{space 3} .3474676
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .1851852{col 26}{space 2} .2786973{col 37}{space 1}    0.66{col 46}{space 3}0.506{col 54}{space 4}-.3610514{col 67}{space 3} .7314219
{txt}{space 10}5  {c |}{col 14}{res}{space 2} .2244449{col 26}{space 2} .2174397{col 37}{space 1}    1.03{col 46}{space 3}0.302{col 54}{space 4} -.201729{col 67}{space 3} .6506188
{txt}{space 10}6  {c |}{col 14}{res}{space 2} .9270111{col 26}{space 2}  .281547{col 37}{space 1}    3.29{col 46}{space 3}0.001{col 54}{space 4} .3751891{col 67}{space 3} 1.478833
{txt}{space 10}7  {c |}{col 14}{res}{space 2} .6144006{col 26}{space 2} .1899517{col 37}{space 1}    3.23{col 46}{space 3}0.001{col 54}{space 4} .2421021{col 67}{space 3} .9866991
{txt}{space 10}8  {c |}{col 14}{res}{space 2} .6843037{col 26}{space 2} .2059628{col 37}{space 1}    3.32{col 46}{space 3}0.001{col 54}{space 4} .2806241{col 67}{space 3} 1.087983
{txt}{space 10}9  {c |}{col 14}{res}{space 2} .4165148{col 26}{space 2} .2395441{col 37}{space 1}    1.74{col 46}{space 3}0.082{col 54}{space 4}-.0529831{col 67}{space 3} .8860126
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}/cut1 {c |}{col 14}{res}{space 2}-1.427484{col 26}{space 2} .2552364{col 54}{space 4}-1.927738{col 67}{space 3}-.9272294
{txt}{space 7}/cut2 {c |}{col 14}{res}{space 2} .7361042{col 26}{space 2} .2510346{col 54}{space 4} .2440854{col 67}{space 3} 1.228123
{txt}{space 7}/cut3 {c |}{col 14}{res}{space 2} 2.478721{col 26}{space 2}  .259804{col 54}{space 4} 1.969515{col 67}{space 3} 2.987928
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. listcoef, help
{res}
ologit (N=1378): Factor change in odds 

{txt}  Odds of: >m vs <=m

{res}{txt}{hline 13}{c TT}{hline 10}{hline 9}{hline 9}{hline 10}{hline 10}{hline 10}
{col 14}{c |}         b{col 25}        z{col 34}    P>|z|{col 43}       e^b{col 53}   e^bStdX{col 63}     SDofX
{hline 13}{c +}{hline 10}{hline 9}{hline 9}{hline 10}{hline 10}{hline 10}
{space 1}2.treatment {c |}{col 14}{res}{space 1}   1.3843{col 25}{space 2} 12.980{col 34}{space 2}  0.000{col 43}{space 2}   3.992{col 53}{space 2}   1.997{col 63}{space 2}   0.500
{txt}{space 12} {c |}
{space 5}country {c |}
{space 9}BE  {c |}{col 14}{res}{space 1}  -0.2508{col 25}{space 2} -0.893{col 34}{space 2}  0.372{col 43}{space 2}   0.778{col 53}{space 2}   0.940{col 63}{space 2}   0.246
{txt}{space 9}CH  {c |}{col 14}{res}{space 1}  -0.3533{col 25}{space 2} -1.223{col 34}{space 2}  0.221{col 43}{space 2}   0.702{col 53}{space 2}   0.922{col 63}{space 2}   0.231
{txt}{space 9}DE  {c |}{col 14}{res}{space 1}  -1.0330{col 25}{space 2} -4.149{col 34}{space 2}  0.000{col 43}{space 2}   0.356{col 53}{space 2}   0.711{col 63}{space 2}   0.331
{txt}{space 9}DK  {c |}{col 14}{res}{space 1}  -0.5772{col 25}{space 2} -2.029{col 34}{space 2}  0.042{col 43}{space 2}   0.561{col 53}{space 2}   0.870{col 63}{space 2}   0.242
{txt}{space 9}ES  {c |}{col 14}{res}{space 1}  -0.1128{col 25}{space 2} -0.409{col 34}{space 2}  0.683{col 43}{space 2}   0.893{col 53}{space 2}   0.970{col 63}{space 2}   0.267
{txt}{space 9}FI  {c |}{col 14}{res}{space 1}   0.2842{col 25}{space 2}  1.087{col 34}{space 2}  0.277{col 43}{space 2}   1.329{col 53}{space 2}   1.082{col 63}{space 2}   0.279
{txt}{space 9}FR  {c |}{col 14}{res}{space 1}  -0.6752{col 25}{space 2} -2.376{col 34}{space 2}  0.018{col 43}{space 2}   0.509{col 53}{space 2}   0.849{col 63}{space 2}   0.243
{txt}{space 9}GB  {c |}{col 14}{res}{space 1}  -0.0988{col 25}{space 2} -0.373{col 34}{space 2}  0.709{col 43}{space 2}   0.906{col 53}{space 2}   0.973{col 63}{space 2}   0.273
{txt}{space 9}IE  {c |}{col 14}{res}{space 1}   0.5343{col 25}{space 2}  2.020{col 34}{space 2}  0.043{col 43}{space 2}   1.706{col 53}{space 2}   1.165{col 63}{space 2}   0.286
{txt}{space 9}NL  {c |}{col 14}{res}{space 1}  -0.0745{col 25}{space 2} -0.274{col 34}{space 2}  0.784{col 43}{space 2}   0.928{col 53}{space 2}   0.981{col 63}{space 2}   0.263
{txt}{space 9}NO  {c |}{col 14}{res}{space 1}  -0.3210{col 25}{space 2} -1.161{col 34}{space 2}  0.246{col 43}{space 2}   0.725{col 53}{space 2}   0.923{col 63}{space 2}   0.248
{txt}{space 9}PT  {c |}{col 14}{res}{space 1}  -0.4118{col 25}{space 2} -1.153{col 34}{space 2}  0.249{col 43}{space 2}   0.662{col 53}{space 2}   0.936{col 63}{space 2}   0.160
{txt}{space 9}SE  {c |}{col 14}{res}{space 1}  -1.2357{col 25}{space 2} -4.409{col 34}{space 2}  0.000{col 43}{space 2}   0.291{col 53}{space 2}   0.732{col 63}{space 2}   0.252
{txt}{space 12} {c |}
{space 4}iscoco10 {c |}
{space 10}2  {c |}{col 14}{res}{space 1}  -0.2787{col 25}{space 2} -1.507{col 34}{space 2}  0.132{col 43}{space 2}   0.757{col 53}{space 2}   0.897{col 63}{space 2}   0.388
{txt}{space 10}3  {c |}{col 14}{res}{space 1}  -0.0264{col 25}{space 2} -0.138{col 34}{space 2}  0.890{col 43}{space 2}   0.974{col 53}{space 2}   0.990{col 63}{space 2}   0.364
{txt}{space 10}4  {c |}{col 14}{res}{space 1}   0.1852{col 25}{space 2}  0.664{col 34}{space 2}  0.506{col 43}{space 2}   1.203{col 53}{space 2}   1.038{col 63}{space 2}   0.199
{txt}{space 10}5  {c |}{col 14}{res}{space 1}   0.2244{col 25}{space 2}  1.032{col 34}{space 2}  0.302{col 43}{space 2}   1.252{col 53}{space 2}   1.068{col 63}{space 2}   0.294
{txt}{space 10}6  {c |}{col 14}{res}{space 1}   0.9270{col 25}{space 2}  3.293{col 34}{space 2}  0.001{col 43}{space 2}   2.527{col 53}{space 2}   1.217{col 63}{space 2}   0.212
{txt}{space 10}7  {c |}{col 14}{res}{space 1}   0.6144{col 25}{space 2}  3.235{col 34}{space 2}  0.001{col 43}{space 2}   1.849{col 53}{space 2}   1.255{col 63}{space 2}   0.369
{txt}{space 10}8  {c |}{col 14}{res}{space 1}   0.6843{col 25}{space 2}  3.322{col 34}{space 2}  0.001{col 43}{space 2}   1.982{col 53}{space 2}   1.242{col 63}{space 2}   0.317
{txt}{space 10}9  {c |}{col 14}{res}{space 1}   0.4165{col 25}{space 2}  1.739{col 34}{space 2}  0.082{col 43}{space 2}   1.517{col 53}{space 2}   1.115{col 63}{space 2}   0.261
{txt}{hline 13}{c BT}{hline 10}{hline 9}{hline 9}{hline 10}{hline 10}{hline 10}
       b = raw coefficient
       z = z-score for test of b=0
   P>|z| = p-value for z-test
     e^b = exp(b) = factor change in odds for unit increase in X
 e^bStdX = exp(b*SD of X) = change in odds for SD increase in X
   SDofX = standard deviation of X

{com}. ologit entry_allow i.treatment i.country i.iscoco10 if rtrd==1 

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-819.40319}  
Iteration 1:{space 3}log likelihood = {res:-742.10049}  
Iteration 2:{space 3}log likelihood = {res:-740.52092}  
Iteration 3:{space 3}log likelihood = {res:-740.51676}  
Iteration 4:{space 3}log likelihood = {res:-740.51676}  
{res}
{txt}Ordered logistic regression{col 49}Number of obs{col 67}= {res}       617
{txt}{col 49}LR chi2({res}22{txt}){col 67}= {res}    157.77
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-740.51676{txt}{col 49}Pseudo R2{col 67}= {res}    0.0963

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1} entry_allow{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}2.treatment {c |}{col 14}{res}{space 2} 1.526225{col 26}{space 2} .1629505{col 37}{space 1}    9.37{col 46}{space 3}0.000{col 54}{space 4} 1.206848{col 67}{space 3} 1.845602
{txt}{space 12} {c |}
{space 5}country {c |}
{space 9}BE  {c |}{col 14}{res}{space 2}-.5574336{col 26}{space 2} .4069958{col 37}{space 1}   -1.37{col 46}{space 3}0.171{col 54}{space 4}-1.355131{col 67}{space 3} .2402635
{txt}{space 9}CH  {c |}{col 14}{res}{space 2} -.820168{col 26}{space 2} .4319857{col 37}{space 1}   -1.90{col 46}{space 3}0.058{col 54}{space 4}-1.666845{col 67}{space 3} .0265084
{txt}{space 9}DE  {c |}{col 14}{res}{space 2}-1.139418{col 26}{space 2} .3741367{col 37}{space 1}   -3.05{col 46}{space 3}0.002{col 54}{space 4}-1.872712{col 67}{space 3}-.4061234
{txt}{space 9}DK  {c |}{col 14}{res}{space 2}-.9601062{col 26}{space 2} .4406381{col 37}{space 1}   -2.18{col 46}{space 3}0.029{col 54}{space 4}-1.823741{col 67}{space 3}-.0964714
{txt}{space 9}ES  {c |}{col 14}{res}{space 2}-.2794118{col 26}{space 2} .4439517{col 37}{space 1}   -0.63{col 46}{space 3}0.529{col 54}{space 4}-1.149541{col 67}{space 3} .5907176
{txt}{space 9}FI  {c |}{col 14}{res}{space 2} .0491052{col 26}{space 2} .3572457{col 37}{space 1}    0.14{col 46}{space 3}0.891{col 54}{space 4}-.6510834{col 67}{space 3} .7492939
{txt}{space 9}FR  {c |}{col 14}{res}{space 2}-.5375166{col 26}{space 2} .3759333{col 37}{space 1}   -1.43{col 46}{space 3}0.153{col 54}{space 4}-1.274332{col 67}{space 3} .1992991
{txt}{space 9}GB  {c |}{col 14}{res}{space 2} .1178195{col 26}{space 2} .3969726{col 37}{space 1}    0.30{col 46}{space 3}0.767{col 54}{space 4}-.6602326{col 67}{space 3} .8958715
{txt}{space 9}IE  {c |}{col 14}{res}{space 2} .4012012{col 26}{space 2} .3906332{col 37}{space 1}    1.03{col 46}{space 3}0.304{col 54}{space 4}-.3644259{col 67}{space 3} 1.166828
{txt}{space 9}NL  {c |}{col 14}{res}{space 2}-.5276721{col 26}{space 2} .4159774{col 37}{space 1}   -1.27{col 46}{space 3}0.205{col 54}{space 4}-1.342973{col 67}{space 3} .2876287
{txt}{space 9}NO  {c |}{col 14}{res}{space 2}-.1825829{col 26}{space 2} .4649213{col 37}{space 1}   -0.39{col 46}{space 3}0.695{col 54}{space 4}-1.093812{col 67}{space 3} .7286461
{txt}{space 9}PT  {c |}{col 14}{res}{space 2}-.5306145{col 26}{space 2}  .453852{col 37}{space 1}   -1.17{col 46}{space 3}0.242{col 54}{space 4}-1.420148{col 67}{space 3}  .358919
{txt}{space 9}SE  {c |}{col 14}{res}{space 2} -.939023{col 26}{space 2} .4697141{col 37}{space 1}   -2.00{col 46}{space 3}0.046{col 54}{space 4}-1.859646{col 67}{space 3}-.0184003
{txt}{space 12} {c |}
{space 4}iscoco10 {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .5136219{col 26}{space 2} .2939777{col 37}{space 1}    1.75{col 46}{space 3}0.081{col 54}{space 4}-.0625638{col 67}{space 3} 1.089808
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .5646366{col 26}{space 2} .2987962{col 37}{space 1}    1.89{col 46}{space 3}0.059{col 54}{space 4}-.0209932{col 67}{space 3} 1.150266
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .8768325{col 26}{space 2} .3723051{col 37}{space 1}    2.36{col 46}{space 3}0.019{col 54}{space 4} .1471278{col 67}{space 3} 1.606537
{txt}{space 10}5  {c |}{col 14}{res}{space 2}  1.26721{col 26}{space 2} .3803532{col 37}{space 1}    3.33{col 46}{space 3}0.001{col 54}{space 4} .5217312{col 67}{space 3} 2.012688
{txt}{space 10}6  {c |}{col 14}{res}{space 2} 1.330483{col 26}{space 2} .4375193{col 37}{space 1}    3.04{col 46}{space 3}0.002{col 54}{space 4}  .472961{col 67}{space 3} 2.188005
{txt}{space 10}7  {c |}{col 14}{res}{space 2} 1.152628{col 26}{space 2}  .271015{col 37}{space 1}    4.25{col 46}{space 3}0.000{col 54}{space 4} .6214488{col 67}{space 3} 1.683808
{txt}{space 10}8  {c |}{col 14}{res}{space 2}  .964228{col 26}{space 2} .3159384{col 37}{space 1}    3.05{col 46}{space 3}0.002{col 54}{space 4}     .345{col 67}{space 3} 1.583456
{txt}{space 10}9  {c |}{col 14}{res}{space 2} 1.224183{col 26}{space 2} .3793133{col 37}{space 1}    3.23{col 46}{space 3}0.001{col 54}{space 4} .4807424{col 67}{space 3} 1.967623
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}/cut1 {c |}{col 14}{res}{space 2}-.9542899{col 26}{space 2} .3776346{col 54}{space 4} -1.69444{col 67}{space 3}-.2141397
{txt}{space 7}/cut2 {c |}{col 14}{res}{space 2} 1.164486{col 26}{space 2} .3772525{col 54}{space 4} .4250844{col 67}{space 3} 1.903887
{txt}{space 7}/cut3 {c |}{col 14}{res}{space 2} 2.848466{col 26}{space 2} .3899132{col 54}{space 4} 2.084251{col 67}{space 3} 3.612682
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. listcoef, help
{res}
ologit (N=617): Factor change in odds 

{txt}  Odds of: >m vs <=m

{res}{txt}{hline 13}{c TT}{hline 10}{hline 9}{hline 9}{hline 10}{hline 10}{hline 10}
{col 14}{c |}         b{col 25}        z{col 34}    P>|z|{col 43}       e^b{col 53}   e^bStdX{col 63}     SDofX
{hline 13}{c +}{hline 10}{hline 9}{hline 9}{hline 10}{hline 10}{hline 10}
{space 1}2.treatment {c |}{col 14}{res}{space 1}   1.5262{col 25}{space 2}  9.366{col 34}{space 2}  0.000{col 43}{space 2}   4.601{col 53}{space 2}   2.145{col 63}{space 2}   0.500
{txt}{space 12} {c |}
{space 5}country {c |}
{space 9}BE  {c |}{col 14}{res}{space 1}  -0.5574{col 25}{space 2} -1.370{col 34}{space 2}  0.171{col 43}{space 2}   0.573{col 53}{space 2}   0.861{col 63}{space 2}   0.268
{txt}{space 9}CH  {c |}{col 14}{res}{space 1}  -0.8202{col 25}{space 2} -1.899{col 34}{space 2}  0.058{col 43}{space 2}   0.440{col 53}{space 2}   0.831{col 63}{space 2}   0.225
{txt}{space 9}DE  {c |}{col 14}{res}{space 1}  -1.1394{col 25}{space 2} -3.045{col 34}{space 2}  0.002{col 43}{space 2}   0.320{col 53}{space 2}   0.706{col 63}{space 2}   0.305
{txt}{space 9}DK  {c |}{col 14}{res}{space 1}  -0.9601{col 25}{space 2} -2.179{col 34}{space 2}  0.029{col 43}{space 2}   0.383{col 53}{space 2}   0.808{col 63}{space 2}   0.222
{txt}{space 9}ES  {c |}{col 14}{res}{space 1}  -0.2794{col 25}{space 2} -0.629{col 34}{space 2}  0.529{col 43}{space 2}   0.756{col 53}{space 2}   0.942{col 63}{space 2}   0.215
{txt}{space 9}FI  {c |}{col 14}{res}{space 1}   0.0491{col 25}{space 2}  0.137{col 34}{space 2}  0.891{col 43}{space 2}   1.050{col 53}{space 2}   1.016{col 63}{space 2}   0.325
{txt}{space 9}FR  {c |}{col 14}{res}{space 1}  -0.5375{col 25}{space 2} -1.430{col 34}{space 2}  0.153{col 43}{space 2}   0.584{col 53}{space 2}   0.851{col 63}{space 2}   0.301
{txt}{space 9}GB  {c |}{col 14}{res}{space 1}   0.1178{col 25}{space 2}  0.297{col 34}{space 2}  0.767{col 43}{space 2}   1.125{col 53}{space 2}   1.033{col 63}{space 2}   0.278
{txt}{space 9}IE  {c |}{col 14}{res}{space 1}   0.4012{col 25}{space 2}  1.027{col 34}{space 2}  0.304{col 43}{space 2}   1.494{col 53}{space 2}   1.118{col 63}{space 2}   0.278
{txt}{space 9}NL  {c |}{col 14}{res}{space 1}  -0.5277{col 25}{space 2} -1.269{col 34}{space 2}  0.205{col 43}{space 2}   0.590{col 53}{space 2}   0.874{col 63}{space 2}   0.255
{txt}{space 9}NO  {c |}{col 14}{res}{space 1}  -0.1826{col 25}{space 2} -0.393{col 34}{space 2}  0.695{col 43}{space 2}   0.833{col 53}{space 2}   0.964{col 63}{space 2}   0.201
{txt}{space 9}PT  {c |}{col 14}{res}{space 1}  -0.5306{col 25}{space 2} -1.169{col 34}{space 2}  0.242{col 43}{space 2}   0.588{col 53}{space 2}   0.887{col 63}{space 2}   0.225
{txt}{space 9}SE  {c |}{col 14}{res}{space 1}  -0.9390{col 25}{space 2} -1.999{col 34}{space 2}  0.046{col 43}{space 2}   0.391{col 53}{space 2}   0.822{col 63}{space 2}   0.208
{txt}{space 12} {c |}
{space 4}iscoco10 {c |}
{space 10}2  {c |}{col 14}{res}{space 1}   0.5136{col 25}{space 2}  1.747{col 34}{space 2}  0.081{col 43}{space 2}   1.671{col 53}{space 2}   1.207{col 63}{space 2}   0.366
{txt}{space 10}3  {c |}{col 14}{res}{space 1}   0.5646{col 25}{space 2}  1.890{col 34}{space 2}  0.059{col 43}{space 2}   1.759{col 53}{space 2}   1.217{col 63}{space 2}   0.348
{txt}{space 10}4  {c |}{col 14}{res}{space 1}   0.8768{col 25}{space 2}  2.355{col 34}{space 2}  0.019{col 43}{space 2}   2.403{col 53}{space 2}   1.225{col 63}{space 2}   0.232
{txt}{space 10}5  {c |}{col 14}{res}{space 1}   1.2672{col 25}{space 2}  3.332{col 34}{space 2}  0.001{col 43}{space 2}   3.551{col 53}{space 2}   1.381{col 63}{space 2}   0.255
{txt}{space 10}6  {c |}{col 14}{res}{space 1}   1.3305{col 25}{space 2}  3.041{col 34}{space 2}  0.002{col 43}{space 2}   3.783{col 53}{space 2}   1.287{col 63}{space 2}   0.190
{txt}{space 10}7  {c |}{col 14}{res}{space 1}   1.1526{col 25}{space 2}  4.253{col 34}{space 2}  0.000{col 43}{space 2}   3.167{col 53}{space 2}   1.627{col 63}{space 2}   0.422
{txt}{space 10}8  {c |}{col 14}{res}{space 1}   0.9642{col 25}{space 2}  3.052{col 34}{space 2}  0.002{col 43}{space 2}   2.623{col 53}{space 2}   1.358{col 63}{space 2}   0.317
{txt}{space 10}9  {c |}{col 14}{res}{space 1}   1.2242{col 25}{space 2}  3.227{col 34}{space 2}  0.001{col 43}{space 2}   3.401{col 53}{space 2}   1.343{col 63}{space 2}   0.241
{txt}{hline 13}{c BT}{hline 10}{hline 9}{hline 9}{hline 10}{hline 10}{hline 10}
       b = raw coefficient
       z = z-score for test of b=0
   P>|z| = p-value for z-test
     e^b = exp(b) = factor change in odds for unit increase in X
 e^bStdX = exp(b*SD of X) = change in odds for SD increase in X
   SDofX = standard deviation of X

{com}. *retirement as interaction (not sub group)

. ologit entry_allow i.treatment##i.rtrd i.country i.iscoco10 

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-2629.4538}  
Iteration 1:{space 3}log likelihood = {res:-2404.5764}  
Iteration 2:{space 3}log likelihood = {res:-2400.4451}  
Iteration 3:{space 3}log likelihood = {res:-2400.4317}  
Iteration 4:{space 3}log likelihood = {res:-2400.4317}  
{res}
{txt}Ordered logistic regression{col 49}Number of obs{col 67}= {res}     1,995
{txt}{col 49}LR chi2({res}24{txt}){col 67}= {res}    458.04
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-2400.4317{txt}{col 49}Pseudo R2{col 67}= {res}    0.0871

{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}   entry_allow{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      z{col 48}   P>|z|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}2.treatment {c |}{col 16}{res}{space 2} 1.372172{col 28}{space 2} .1042449{col 39}{space 1}   13.16{col 48}{space 3}0.000{col 56}{space 4} 1.167856{col 69}{space 3} 1.576489
{txt}{space 14} {c |}
{space 10}rtrd {c |}
{space 7}Marked  {c |}{col 16}{res}{space 2} .0081575{col 28}{space 2} .1297441{col 39}{space 1}    0.06{col 48}{space 3}0.950{col 56}{space 4}-.2461363{col 69}{space 3} .2624513
{txt}{space 14} {c |}
treatment#rtrd {c |}
{space 5}2#Marked  {c |}{col 16}{res}{space 2}  .144144{col 28}{space 2} .1812427{col 39}{space 1}    0.80{col 48}{space 3}0.426{col 56}{space 4}-.2110852{col 69}{space 3} .4993732
{txt}{space 14} {c |}
{space 7}country {c |}
{space 11}BE  {c |}{col 16}{res}{space 2}-.3647936{col 28}{space 2} .2303802{col 39}{space 1}   -1.58{col 48}{space 3}0.113{col 56}{space 4}-.8163305{col 69}{space 3} .0867432
{txt}{space 11}CH  {c |}{col 16}{res}{space 2}-.5198294{col 28}{space 2} .2396895{col 39}{space 1}   -2.17{col 48}{space 3}0.030{col 56}{space 4}-.9896122{col 69}{space 3}-.0500465
{txt}{space 11}DE  {c |}{col 16}{res}{space 2}-1.069427{col 28}{space 2} .2066122{col 39}{space 1}   -5.18{col 48}{space 3}0.000{col 56}{space 4}-1.474379{col 69}{space 3}-.6644741
{txt}{space 11}DK  {c |}{col 16}{res}{space 2}-.6763891{col 28}{space 2} .2379884{col 39}{space 1}   -2.84{col 48}{space 3}0.004{col 56}{space 4}-1.142838{col 69}{space 3}-.2099404
{txt}{space 11}ES  {c |}{col 16}{res}{space 2}-.1840067{col 28}{space 2} .2324562{col 39}{space 1}   -0.79{col 48}{space 3}0.429{col 56}{space 4}-.6396124{col 69}{space 3}  .271599
{txt}{space 11}FI  {c |}{col 16}{res}{space 2} .1861294{col 28}{space 2} .2097265{col 39}{space 1}    0.89{col 48}{space 3}0.375{col 56}{space 4} -.224927{col 69}{space 3} .5971858
{txt}{space 11}FR  {c |}{col 16}{res}{space 2}-.6249346{col 28}{space 2}  .224827{col 39}{space 1}   -2.78{col 48}{space 3}0.005{col 56}{space 4}-1.065588{col 69}{space 3}-.1842818
{txt}{space 11}GB  {c |}{col 16}{res}{space 2}-.0467705{col 28}{space 2} .2192982{col 39}{space 1}   -0.21{col 48}{space 3}0.831{col 56}{space 4} -.476587{col 69}{space 3}  .383046
{txt}{space 11}IE  {c |}{col 16}{res}{space 2} .4853448{col 28}{space 2} .2180811{col 39}{space 1}    2.23{col 48}{space 3}0.026{col 56}{space 4} .0579137{col 69}{space 3}  .912776
{txt}{space 11}NL  {c |}{col 16}{res}{space 2}-.1980717{col 28}{space 2} .2267538{col 39}{space 1}   -0.87{col 48}{space 3}0.382{col 56}{space 4}-.6425009{col 69}{space 3} .2463576
{txt}{space 11}NO  {c |}{col 16}{res}{space 2}-.2867171{col 28}{space 2} .2352855{col 39}{space 1}   -1.22{col 48}{space 3}0.223{col 56}{space 4}-.7478682{col 69}{space 3}  .174434
{txt}{space 11}PT  {c |}{col 16}{res}{space 2}-.4279585{col 28}{space 2} .2770316{col 39}{space 1}   -1.54{col 48}{space 3}0.122{col 56}{space 4}-.9709304{col 69}{space 3} .1150134
{txt}{space 11}SE  {c |}{col 16}{res}{space 2}-1.178689{col 28}{space 2} .2388698{col 39}{space 1}   -4.93{col 48}{space 3}0.000{col 56}{space 4}-1.646865{col 69}{space 3}-.7105126
{txt}{space 14} {c |}
{space 6}iscoco10 {c |}
{space 12}2  {c |}{col 16}{res}{space 2}-.0509535{col 28}{space 2} .1557932{col 39}{space 1}   -0.33{col 48}{space 3}0.744{col 56}{space 4}-.3563025{col 69}{space 3} .2543954
{txt}{space 12}3  {c |}{col 16}{res}{space 2} .1394469{col 28}{space 2} .1603248{col 39}{space 1}    0.87{col 48}{space 3}0.384{col 56}{space 4} -.174784{col 69}{space 3} .4536778
{txt}{space 12}4  {c |}{col 16}{res}{space 2} .3818111{col 28}{space 2}  .220989{col 39}{space 1}    1.73{col 48}{space 3}0.084{col 56}{space 4}-.0513194{col 69}{space 3} .8149416
{txt}{space 12}5  {c |}{col 16}{res}{space 2} .5130014{col 28}{space 2} .1869662{col 39}{space 1}    2.74{col 48}{space 3}0.006{col 56}{space 4} .1465544{col 69}{space 3} .8794485
{txt}{space 12}6  {c |}{col 16}{res}{space 2} 1.034201{col 28}{space 2} .2355967{col 39}{space 1}    4.39{col 48}{space 3}0.000{col 56}{space 4} .5724398{col 69}{space 3} 1.495962
{txt}{space 12}7  {c |}{col 16}{res}{space 2} .7550597{col 28}{space 2} .1539193{col 39}{space 1}    4.91{col 48}{space 3}0.000{col 56}{space 4} .4533833{col 69}{space 3} 1.056736
{txt}{space 12}8  {c |}{col 16}{res}{space 2} .7676284{col 28}{space 2} .1721306{col 39}{space 1}    4.46{col 48}{space 3}0.000{col 56}{space 4} .4302587{col 69}{space 3} 1.104998
{txt}{space 12}9  {c |}{col 16}{res}{space 2} .6409197{col 28}{space 2}  .201845{col 39}{space 1}    3.18{col 48}{space 3}0.001{col 56}{space 4} .2453108{col 69}{space 3} 1.036529
{txt}{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}/cut1 {c |}{col 16}{res}{space 2}-1.292772{col 28}{space 2} .2146855{col 56}{space 4}-1.713548{col 69}{space 3}-.8719961
{txt}{space 9}/cut2 {c |}{col 16}{res}{space 2} .8457986{col 28}{space 2} .2120887{col 56}{space 4} .4301123{col 69}{space 3} 1.261485
{txt}{space 9}/cut3 {c |}{col 16}{res}{space 2} 2.559188{col 28}{space 2}  .219091{col 56}{space 4} 2.129778{col 69}{space 3} 2.988599
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. **********************

. **robustness checks***

. **********************

. *survey experiment hetergenous impact by skill

. ologit entry_allow i.treatment##i.lowskill i.country if rtrd==1

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-819.40319}  
Iteration 1:{space 3}log likelihood = {res:-754.60622}  
Iteration 2:{space 3}log likelihood = {res:-753.47167}  
Iteration 3:{space 3}log likelihood = {res:-753.46795}  
Iteration 4:{space 3}log likelihood = {res:-753.46795}  
{res}
{txt}Ordered logistic regression{col 49}Number of obs{col 67}= {res}       617
{txt}{col 49}LR chi2({res}16{txt}){col 67}= {res}    131.87
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-753.46795{txt}{col 49}Pseudo R2{col 67}= {res}    0.0805

{txt}{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}       entry_allow{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      z{col 52}   P>|z|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}2.treatment {c |}{col 20}{res}{space 2} 1.425731{col 32}{space 2} .1734039{col 43}{space 1}    8.22{col 52}{space 3}0.000{col 60}{space 4} 1.085865{col 73}{space 3} 1.765596
{txt}{space 8}1.lowskill {c |}{col 20}{res}{space 2} .1694896{col 32}{space 2}  .269996{col 43}{space 1}    0.63{col 52}{space 3}0.530{col 60}{space 4}-.3596927{col 73}{space 3}  .698672
{txt}{space 18} {c |}
treatment#lowskill {c |}
{space 14}2 1  {c |}{col 20}{res}{space 2} .2449461{col 32}{space 2} .3944547{col 43}{space 1}    0.62{col 52}{space 3}0.535{col 60}{space 4}-.5281708{col 73}{space 3} 1.018063
{txt}{space 18} {c |}
{space 11}country {c |}
{space 15}BE  {c |}{col 20}{res}{space 2}-.7562343{col 32}{space 2} .4043225{col 43}{space 1}   -1.87{col 52}{space 3}0.061{col 60}{space 4}-1.548692{col 73}{space 3} .0362233
{txt}{space 15}CH  {c |}{col 20}{res}{space 2}-1.043092{col 32}{space 2} .4316903{col 43}{space 1}   -2.42{col 52}{space 3}0.016{col 60}{space 4} -1.88919{col 73}{space 3}-.1969951
{txt}{space 15}DE  {c |}{col 20}{res}{space 2}-1.272731{col 32}{space 2} .3742596{col 43}{space 1}   -3.40{col 52}{space 3}0.001{col 60}{space 4}-2.006266{col 73}{space 3}-.5391955
{txt}{space 15}DK  {c |}{col 20}{res}{space 2}-.9700224{col 32}{space 2} .4386786{col 43}{space 1}   -2.21{col 52}{space 3}0.027{col 60}{space 4}-1.829817{col 73}{space 3} -.110228
{txt}{space 15}ES  {c |}{col 20}{res}{space 2}-.2762749{col 32}{space 2} .4454476{col 43}{space 1}   -0.62{col 52}{space 3}0.535{col 60}{space 4}-1.149336{col 73}{space 3} .5967864
{txt}{space 15}FI  {c |}{col 20}{res}{space 2} .0471759{col 32}{space 2} .3568384{col 43}{space 1}    0.13{col 52}{space 3}0.895{col 60}{space 4}-.6522145{col 73}{space 3} .7465662
{txt}{space 15}FR  {c |}{col 20}{res}{space 2}-.6946502{col 32}{space 2} .3760518{col 43}{space 1}   -1.85{col 52}{space 3}0.065{col 60}{space 4}-1.431698{col 73}{space 3} .0423978
{txt}{space 15}GB  {c |}{col 20}{res}{space 2} .0097029{col 32}{space 2} .3931035{col 43}{space 1}    0.02{col 52}{space 3}0.980{col 60}{space 4}-.7607658{col 73}{space 3} .7801717
{txt}{space 15}IE  {c |}{col 20}{res}{space 2} .2878502{col 32}{space 2} .3899063{col 43}{space 1}    0.74{col 52}{space 3}0.460{col 60}{space 4}-.4763521{col 73}{space 3} 1.052053
{txt}{space 15}NL  {c |}{col 20}{res}{space 2}-.6653282{col 32}{space 2} .4131751{col 43}{space 1}   -1.61{col 52}{space 3}0.107{col 60}{space 4}-1.475137{col 73}{space 3} .1444802
{txt}{space 15}NO  {c |}{col 20}{res}{space 2}-.1596076{col 32}{space 2} .4623099{col 43}{space 1}   -0.35{col 52}{space 3}0.730{col 60}{space 4}-1.065718{col 73}{space 3} .7465031
{txt}{space 15}PT  {c |}{col 20}{res}{space 2}-.4887015{col 32}{space 2} .4465691{col 43}{space 1}   -1.09{col 52}{space 3}0.274{col 60}{space 4}-1.363961{col 73}{space 3} .3865578
{txt}{space 15}SE  {c |}{col 20}{res}{space 2}-1.064858{col 32}{space 2} .4680332{col 43}{space 1}   -2.28{col 52}{space 3}0.023{col 60}{space 4}-1.982186{col 73}{space 3}-.1475295
{txt}{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 13}/cut1 {c |}{col 20}{res}{space 2}-1.797776{col 32}{space 2} .3253155{col 60}{space 4}-2.435382{col 73}{space 3}-1.160169
{txt}{space 13}/cut2 {c |}{col 20}{res}{space 2} .2601858{col 32}{space 2} .3146055{col 60}{space 4}-.3564298{col 73}{space 3} .8768013
{txt}{space 13}/cut3 {c |}{col 20}{res}{space 2} 1.903858{col 32}{space 2} .3231697{col 60}{space 4} 1.270457{col 73}{space 3} 2.537259
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. ologit entry_allow i.treatment##i.highskill i.country if rtrd==1
{err}variable {bf}highskill{sf} not found
{txt}{search r(111), local:r(111);}

{com}. ologit entry_allow i.treatment##i.lowed i.country if rtrd==1
{err}variable {bf}lowed{sf} not found
{txt}{search r(111), local:r(111);}

{com}. ologit entry_allow i.treatment##i.lowed i.country if rtrd==0
{err}variable {bf}lowed{sf} not found
{txt}{search r(111), local:r(111);}

{com}. *also not significant when considering cultural impact of immigration

. ivregress 2sls imueclt (rtrd=above_early above_full) eduyrs agea agesquared hinctnta ever_child lrscale brncntr i.country i.iscoco10 i.rural i.married, robust first
{res}
{txt}First-stage regressions
{hline 23}
{res}
{txt}{col 49}Number of obs{col 67}= {res}     3,655
{txt}{col 49}F({res}  32{txt},{res}   3622{txt}){col 67}= {res}    241.87
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.5727
{txt}{col 49}Adj R-squared{col 67}= {res}    0.5689
{txt}{col 49}Root MSE{col 67}= {res}    0.3075

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}        rtrd{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}eduyrs {c |}{col 14}{res}{space 2}-.0029879{col 26}{space 2} .0015224{col 37}{space 1}   -1.96{col 46}{space 3}0.050{col 54}{space 4}-.0059728{col 67}{space 3}-2.97e-06
{txt}{space 8}agea {c |}{col 14}{res}{space 2}-.1769084{col 26}{space 2} .0267583{col 37}{space 1}   -6.61{col 46}{space 3}0.000{col 54}{space 4}-.2293712{col 67}{space 3}-.1244456
{txt}{space 2}agesquared {c |}{col 14}{res}{space 2} .0017878{col 26}{space 2} .0002396{col 37}{space 1}    7.46{col 46}{space 3}0.000{col 54}{space 4}  .001318{col 67}{space 3} .0022575
{txt}{space 4}hinctnta {c |}{col 14}{res}{space 2}-.0109669{col 26}{space 2} .0025056{col 37}{space 1}   -4.38{col 46}{space 3}0.000{col 54}{space 4}-.0158795{col 67}{space 3}-.0060543
{txt}{space 2}ever_child {c |}{col 14}{res}{space 2} .0014492{col 26}{space 2} .0142525{col 37}{space 1}    0.10{col 46}{space 3}0.919{col 54}{space 4}-.0264946{col 67}{space 3} .0293929
{txt}{space 5}lrscale {c |}{col 14}{res}{space 2} .0011033{col 26}{space 2} .0024815{col 37}{space 1}    0.44{col 46}{space 3}0.657{col 54}{space 4} -.003762{col 67}{space 3} .0059686
{txt}{space 5}brncntr {c |}{col 14}{res}{space 2}-.0656337{col 26}{space 2} .0165542{col 37}{space 1}   -3.96{col 46}{space 3}0.000{col 54}{space 4}-.0980902{col 67}{space 3}-.0331771
{txt}{space 12} {c |}
{space 5}country {c |}
{space 9}BE  {c |}{col 14}{res}{space 2} .0134968{col 26}{space 2} .0285344{col 37}{space 1}    0.47{col 46}{space 3}0.636{col 54}{space 4}-.0424482{col 67}{space 3} .0694418
{txt}{space 9}CH  {c |}{col 14}{res}{space 2}-.1011295{col 26}{space 2} .0279516{col 37}{space 1}   -3.62{col 46}{space 3}0.000{col 54}{space 4}-.1559319{col 67}{space 3} -.046327
{txt}{space 9}DE  {c |}{col 14}{res}{space 2}-.0312141{col 26}{space 2} .0254764{col 37}{space 1}   -1.23{col 46}{space 3}0.221{col 54}{space 4}-.0811636{col 67}{space 3} .0187354
{txt}{space 9}DK  {c |}{col 14}{res}{space 2}-.0535491{col 26}{space 2} .0291224{col 37}{space 1}   -1.84{col 46}{space 3}0.066{col 54}{space 4}-.1106471{col 67}{space 3} .0035488
{txt}{space 9}ES  {c |}{col 14}{res}{space 2}-.1179261{col 26}{space 2} .0274795{col 37}{space 1}   -4.29{col 46}{space 3}0.000{col 54}{space 4}-.1718029{col 67}{space 3}-.0640492
{txt}{space 9}FI  {c |}{col 14}{res}{space 2}-.0046477{col 26}{space 2} .0272722{col 37}{space 1}   -0.17{col 46}{space 3}0.865{col 54}{space 4} -.058118{col 67}{space 3} .0488226
{txt}{space 9}FR  {c |}{col 14}{res}{space 2} .0578427{col 26}{space 2}  .028387{col 37}{space 1}    2.04{col 46}{space 3}0.042{col 54}{space 4} .0021867{col 67}{space 3} .1134987
{txt}{space 9}GB  {c |}{col 14}{res}{space 2}-.0358762{col 26}{space 2} .0299765{col 37}{space 1}   -1.20{col 46}{space 3}0.231{col 54}{space 4}-.0946488{col 67}{space 3} .0228964
{txt}{space 9}IE  {c |}{col 14}{res}{space 2} -.155209{col 26}{space 2} .0385122{col 37}{space 1}   -4.03{col 46}{space 3}0.000{col 54}{space 4}-.2307167{col 67}{space 3}-.0797012
{txt}{space 9}NL  {c |}{col 14}{res}{space 2}-.0623849{col 26}{space 2}  .026698{col 37}{space 1}   -2.34{col 46}{space 3}0.020{col 54}{space 4}-.1147295{col 67}{space 3}-.0100402
{txt}{space 9}NO  {c |}{col 14}{res}{space 2}-.1511398{col 26}{space 2} .0296593{col 37}{space 1}   -5.10{col 46}{space 3}0.000{col 54}{space 4}-.2092904{col 67}{space 3}-.0929893
{txt}{space 9}PT  {c |}{col 14}{res}{space 2} .0017493{col 26}{space 2} .0361987{col 37}{space 1}    0.05{col 46}{space 3}0.961{col 54}{space 4}-.0692226{col 67}{space 3} .0727212
{txt}{space 9}SE  {c |}{col 14}{res}{space 2}-.1733764{col 26}{space 2} .0286804{col 37}{space 1}   -6.05{col 46}{space 3}0.000{col 54}{space 4}-.2296077{col 67}{space 3}-.1171451
{txt}{space 12} {c |}
{space 4}iscoco10 {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0037465{col 26}{space 2} .0193671{col 37}{space 1}   -0.19{col 46}{space 3}0.847{col 54}{space 4}-.0417181{col 67}{space 3} .0342251
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.0027941{col 26}{space 2} .0195498{col 37}{space 1}   -0.14{col 46}{space 3}0.886{col 54}{space 4}-.0411238{col 67}{space 3} .0355356
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0164586{col 26}{space 2} .0284095{col 37}{space 1}    0.58{col 46}{space 3}0.562{col 54}{space 4}-.0392417{col 67}{space 3} .0721588
{txt}{space 10}5  {c |}{col 14}{res}{space 2}-.0082644{col 26}{space 2} .0243317{col 37}{space 1}   -0.34{col 46}{space 3}0.734{col 54}{space 4}-.0559696{col 67}{space 3} .0394409
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.1265886{col 26}{space 2} .0308368{col 37}{space 1}   -4.11{col 46}{space 3}0.000{col 54}{space 4}-.1870478{col 67}{space 3}-.0661294
{txt}{space 10}7  {c |}{col 14}{res}{space 2}-.0096032{col 26}{space 2} .0212722{col 37}{space 1}   -0.45{col 46}{space 3}0.652{col 54}{space 4}-.0513099{col 67}{space 3} .0321034
{txt}{space 10}8  {c |}{col 14}{res}{space 2} .0189964{col 26}{space 2} .0237681{col 37}{space 1}    0.80{col 46}{space 3}0.424{col 54}{space 4}-.0276037{col 67}{space 3} .0655966
{txt}{space 10}9  {c |}{col 14}{res}{space 2}-.0585443{col 26}{space 2} .0270118{col 37}{space 1}   -2.17{col 46}{space 3}0.030{col 54}{space 4}-.1115041{col 67}{space 3}-.0055845
{txt}{space 12} {c |}
{space 5}1.rural {c |}{col 14}{res}{space 2} .0259275{col 26}{space 2} .0109308{col 37}{space 1}    2.37{col 46}{space 3}0.018{col 54}{space 4} .0044964{col 67}{space 3} .0473586
{txt}{space 3}1.married {c |}{col 14}{res}{space 2} .0345993{col 26}{space 2} .0113395{col 37}{space 1}    3.05{col 46}{space 3}0.002{col 54}{space 4} .0123669{col 67}{space 3} .0568317
{txt}{space 1}above_early {c |}{col 14}{res}{space 2} .1357238{col 26}{space 2} .0275519{col 37}{space 1}    4.93{col 46}{space 3}0.000{col 54}{space 4} .0817051{col 67}{space 3} .1897425
{txt}{space 2}above_full {c |}{col 14}{res}{space 2} .1872439{col 26}{space 2} .0339994{col 37}{space 1}    5.51{col 46}{space 3}0.000{col 54}{space 4}  .120584{col 67}{space 3} .2539038
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 4.561748{col 26}{space 2} .7455794{col 37}{space 1}    6.12{col 46}{space 3}0.000{col 54}{space 4} 3.099951{col 67}{space 3} 6.023545
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{res}
{txt}{col 1}Instrumental variables (2SLS) regression{col 51}Number of obs{col 67}= {res}     3,655
{txt}{col 1}{col 51}Wald chi2({res}31{txt}){col 67}= {res}    247.27
{txt}{col 1}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}{col 1}{col 51}R-squared{col 67}= {res}    0.0165
{txt}{col 51}Root MSE{col 67}=    {res} 6.7701

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     imueclt{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}rtrd {c |}{col 14}{res}{space 2}-.5462982{col 26}{space 2} 2.663223{col 37}{space 1}   -0.21{col 46}{space 3}0.837{col 54}{space 4}-5.766119{col 67}{space 3} 4.673522
{txt}{space 6}eduyrs {c |}{col 14}{res}{space 2} .0667209{col 26}{space 2} .0284003{col 37}{space 1}    2.35{col 46}{space 3}0.019{col 54}{space 4} .0110574{col 67}{space 3} .1223845
{txt}{space 8}agea {c |}{col 14}{res}{space 2}-.0440677{col 26}{space 2} 1.129341{col 37}{space 1}   -0.04{col 46}{space 3}0.969{col 54}{space 4}-2.257535{col 67}{space 3} 2.169399
{txt}{space 2}agesquared {c |}{col 14}{res}{space 2} .0007486{col 26}{space 2} .0106716{col 37}{space 1}    0.07{col 46}{space 3}0.944{col 54}{space 4}-.0201674{col 67}{space 3} .0216645
{txt}{space 4}hinctnta {c |}{col 14}{res}{space 2} .0319823{col 26}{space 2} .0524486{col 37}{space 1}    0.61{col 46}{space 3}0.542{col 54}{space 4} -.070815{col 67}{space 3} .1347796
{txt}{space 2}ever_child {c |}{col 14}{res}{space 2} .0462752{col 26}{space 2} .3143087{col 37}{space 1}    0.15{col 46}{space 3}0.883{col 54}{space 4}-.5697585{col 67}{space 3} .6623089
{txt}{space 5}lrscale {c |}{col 14}{res}{space 2}-.1811158{col 26}{space 2} .0471988{col 37}{space 1}   -3.84{col 46}{space 3}0.000{col 54}{space 4}-.2736237{col 67}{space 3}-.0886079
{txt}{space 5}brncntr {c |}{col 14}{res}{space 2} .7475723{col 26}{space 2} .4663885{col 37}{space 1}    1.60{col 46}{space 3}0.109{col 54}{space 4}-.1665324{col 67}{space 3} 1.661677
{txt}{space 12} {c |}
{space 5}country {c |}
{space 9}BE  {c |}{col 14}{res}{space 2}-.1631678{col 26}{space 2} .8752541{col 37}{space 1}   -0.19{col 46}{space 3}0.852{col 54}{space 4}-1.878634{col 67}{space 3} 1.552299
{txt}{space 9}CH  {c |}{col 14}{res}{space 2}-.3080289{col 26}{space 2} .8488055{col 37}{space 1}   -0.36{col 46}{space 3}0.717{col 54}{space 4}-1.971657{col 67}{space 3} 1.355599
{txt}{space 9}DE  {c |}{col 14}{res}{space 2}  .316863{col 26}{space 2} .8010852{col 37}{space 1}    0.40{col 46}{space 3}0.692{col 54}{space 4}-1.253235{col 67}{space 3} 1.886961
{txt}{space 9}DK  {c |}{col 14}{res}{space 2}-.1979446{col 26}{space 2} .8788483{col 37}{space 1}   -0.23{col 46}{space 3}0.822{col 54}{space 4}-1.920455{col 67}{space 3} 1.524566
{txt}{space 9}ES  {c |}{col 14}{res}{space 2} .5683155{col 26}{space 2} .9861074{col 37}{space 1}    0.58{col 46}{space 3}0.564{col 54}{space 4}-1.364419{col 67}{space 3}  2.50105
{txt}{space 9}FI  {c |}{col 14}{res}{space 2}   .72989{col 26}{space 2} .8110837{col 37}{space 1}    0.90{col 46}{space 3}0.368{col 54}{space 4}-.8598048{col 67}{space 3} 2.319585
{txt}{space 9}FR  {c |}{col 14}{res}{space 2}-.8592146{col 26}{space 2} .9113496{col 37}{space 1}   -0.94{col 46}{space 3}0.346{col 54}{space 4}-2.645427{col 67}{space 3} .9269977
{txt}{space 9}GB  {c |}{col 14}{res}{space 2} -.607503{col 26}{space 2} .9833981{col 37}{space 1}   -0.62{col 46}{space 3}0.537{col 54}{space 4}-2.534928{col 67}{space 3} 1.319922
{txt}{space 9}IE  {c |}{col 14}{res}{space 2} 1.258242{col 26}{space 2} 1.159968{col 37}{space 1}    1.08{col 46}{space 3}0.278{col 54}{space 4}-1.015254{col 67}{space 3} 3.531738
{txt}{space 9}NL  {c |}{col 14}{res}{space 2}  .377393{col 26}{space 2} .9229994{col 37}{space 1}    0.41{col 46}{space 3}0.683{col 54}{space 4}-1.431653{col 67}{space 3} 2.186439
{txt}{space 9}NO  {c |}{col 14}{res}{space 2}-.4337731{col 26}{space 2} .8919953{col 37}{space 1}   -0.49{col 46}{space 3}0.627{col 54}{space 4}-2.182052{col 67}{space 3} 1.314506
{txt}{space 9}PT  {c |}{col 14}{res}{space 2}-.0776547{col 26}{space 2} .8200446{col 37}{space 1}   -0.09{col 46}{space 3}0.925{col 54}{space 4}-1.684913{col 67}{space 3} 1.529603
{txt}{space 9}SE  {c |}{col 14}{res}{space 2} .7415027{col 26}{space 2}  .948708{col 37}{space 1}    0.78{col 46}{space 3}0.434{col 54}{space 4}-1.117931{col 67}{space 3} 2.600936
{txt}{space 12} {c |}
{space 4}iscoco10 {c |}
{space 10}2  {c |}{col 14}{res}{space 2}  .090209{col 26}{space 2} .2690562{col 37}{space 1}    0.34{col 46}{space 3}0.737{col 54}{space 4}-.4371314{col 67}{space 3} .6175494
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.0476161{col 26}{space 2} .3050216{col 37}{space 1}   -0.16{col 46}{space 3}0.876{col 54}{space 4}-.6454474{col 67}{space 3} .5502152
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.5447349{col 26}{space 2} .2871688{col 37}{space 1}   -1.90{col 46}{space 3}0.058{col 54}{space 4}-1.107575{col 67}{space 3} .0181055
{txt}{space 10}5  {c |}{col 14}{res}{space 2}-.1565398{col 26}{space 2} .5347359{col 37}{space 1}   -0.29{col 46}{space 3}0.770{col 54}{space 4}-1.204603{col 67}{space 3} .8915233
{txt}{space 10}6  {c |}{col 14}{res}{space 2} .4428613{col 26}{space 2}  1.20815{col 37}{space 1}    0.37{col 46}{space 3}0.714{col 54}{space 4} -1.92507{col 67}{space 3} 2.810792
{txt}{space 10}7  {c |}{col 14}{res}{space 2}-.6594503{col 26}{space 2} .3389302{col 37}{space 1}   -1.95{col 46}{space 3}0.052{col 54}{space 4}-1.323741{col 67}{space 3} .0048407
{txt}{space 10}8  {c |}{col 14}{res}{space 2}-.5571086{col 26}{space 2} .4008126{col 37}{space 1}   -1.39{col 46}{space 3}0.165{col 54}{space 4}-1.342687{col 67}{space 3} .2284696
{txt}{space 10}9  {c |}{col 14}{res}{space 2} .3235288{col 26}{space 2} .8491246{col 37}{space 1}    0.38{col 46}{space 3}0.703{col 54}{space 4}-1.340725{col 67}{space 3} 1.987782
{txt}{space 12} {c |}
{space 5}1.rural {c |}{col 14}{res}{space 2}-.2439784{col 26}{space 2} .2695773{col 37}{space 1}   -0.91{col 46}{space 3}0.365{col 54}{space 4}-.7723403{col 67}{space 3} .2843834
{txt}{space 3}1.married {c |}{col 14}{res}{space 2}-.2112566{col 26}{space 2} .2762247{col 37}{space 1}   -0.76{col 46}{space 3}0.444{col 54}{space 4} -.752647{col 67}{space 3} .3301338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}  5.87463{col 26}{space 2} 30.34895{col 37}{space 1}    0.19{col 46}{space 3}0.847{col 54}{space 4}-53.60821{col 67}{space 3} 65.35747
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 15 26}Instrumented:{space 2}rtrd{p_end}
{p 0 15 26}Instruments:{space 3}eduyrs agea agesquared hinctnta ever_child lrscale brncntr 2.country 3.country 5.country 6.country 8.country 9.country 10.country 11.country 13.country 16.country 17.country 19.country 20.country 2.iscoco10 3.iscoco10 4.iscoco10 5.iscoco10 6.iscoco10 7.iscoco10 8.iscoco10 9.iscoco10 1.rural 1.married above_early above_full{p_end}

{com}. *drop one country

. *w/o AT

. ivregress 2sls imbgeco (rtrd=above_early above_full) eduyrs agea agesquared hinctnta ever_child lrscale brncntr i.country i.iscoco10 i.rural i.married if cntry!="AT", robust 
{res}{txt}note: 1.country identifies no observations in the sample
note: 20.country omitted because of collinearity
{res}
{txt}{col 1}Instrumental variables (2SLS) regression{col 51}Number of obs{col 67}= {res}     3,431
{txt}{col 1}{col 51}Wald chi2({res}30{txt}){col 67}= {res}    694.40
{txt}{col 1}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}{col 1}{col 51}R-squared{col 67}= {res}    0.1472
{txt}{col 51}Root MSE{col 67}=    {res} 2.1904

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     imbgeco{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}rtrd {c |}{col 14}{res}{space 2}-.8838331{col 26}{space 2} .6049597{col 37}{space 1}   -1.46{col 46}{space 3}0.144{col 54}{space 4}-2.069532{col 67}{space 3} .3018661
{txt}{space 6}eduyrs {c |}{col 14}{res}{space 2} .0706578{col 26}{space 2} .0118068{col 37}{space 1}    5.98{col 46}{space 3}0.000{col 54}{space 4}  .047517{col 67}{space 3} .0937986
{txt}{space 8}agea {c |}{col 14}{res}{space 2}-.0116131{col 26}{space 2}  .274901{col 37}{space 1}   -0.04{col 46}{space 3}0.966{col 54}{space 4} -.550409{col 67}{space 3} .5271829
{txt}{space 2}agesquared {c |}{col 14}{res}{space 2}  .000583{col 26}{space 2}  .002547{col 37}{space 1}    0.23{col 46}{space 3}0.819{col 54}{space 4} -.004409{col 67}{space 3} .0055749
{txt}{space 4}hinctnta {c |}{col 14}{res}{space 2} .0678152{col 26}{space 2} .0199578{col 37}{space 1}    3.40{col 46}{space 3}0.001{col 54}{space 4} .0286987{col 67}{space 3} .1069317
{txt}{space 2}ever_child {c |}{col 14}{res}{space 2}-.1471621{col 26}{space 2} .1025586{col 37}{space 1}   -1.43{col 46}{space 3}0.151{col 54}{space 4}-.3481733{col 67}{space 3} .0538491
{txt}{space 5}lrscale {c |}{col 14}{res}{space 2}-.1276063{col 26}{space 2} .0198355{col 37}{space 1}   -6.43{col 46}{space 3}0.000{col 54}{space 4}-.1664832{col 67}{space 3}-.0887295
{txt}{space 5}brncntr {c |}{col 14}{res}{space 2} .5578038{col 26}{space 2} .1598512{col 37}{space 1}    3.49{col 46}{space 3}0.000{col 54}{space 4} .2445012{col 67}{space 3} .8711064
{txt}{space 12} {c |}
{space 5}country {c |}
{space 9}AT  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 9}BE  {c |}{col 14}{res}{space 2}-.5073188{col 26}{space 2} .2343863{col 37}{space 1}   -2.16{col 46}{space 3}0.030{col 54}{space 4}-.9667076{col 67}{space 3}-.0479301
{txt}{space 9}CH  {c |}{col 14}{res}{space 2} 1.078085{col 26}{space 2} .2037536{col 37}{space 1}    5.29{col 46}{space 3}0.000{col 54}{space 4} .6787351{col 67}{space 3} 1.477435
{txt}{space 9}DE  {c |}{col 14}{res}{space 2} .6268791{col 26}{space 2}  .189218{col 37}{space 1}    3.31{col 46}{space 3}0.001{col 54}{space 4} .2560186{col 67}{space 3} .9977396
{txt}{space 9}DK  {c |}{col 14}{res}{space 2} .0387859{col 26}{space 2} .2195305{col 37}{space 1}    0.18{col 46}{space 3}0.860{col 54}{space 4}-.3914859{col 67}{space 3} .4690578
{txt}{space 9}ES  {c |}{col 14}{res}{space 2} .5702422{col 26}{space 2} .2289613{col 37}{space 1}    2.49{col 46}{space 3}0.013{col 54}{space 4} .1214863{col 67}{space 3} 1.018998
{txt}{space 9}FI  {c |}{col 14}{res}{space 2} .4323123{col 26}{space 2} .2071231{col 37}{space 1}    2.09{col 46}{space 3}0.037{col 54}{space 4} .0263585{col 67}{space 3} .8382662
{txt}{space 9}FR  {c |}{col 14}{res}{space 2}-.2178088{col 26}{space 2} .2469395{col 37}{space 1}   -0.88{col 46}{space 3}0.378{col 54}{space 4}-.7018013{col 67}{space 3} .2661837
{txt}{space 9}GB  {c |}{col 14}{res}{space 2}-.3800317{col 26}{space 2} .2164071{col 37}{space 1}   -1.76{col 46}{space 3}0.079{col 54}{space 4}-.8041817{col 67}{space 3} .0441184
{txt}{space 9}IE  {c |}{col 14}{res}{space 2}-.0405537{col 26}{space 2} .2285365{col 37}{space 1}   -0.18{col 46}{space 3}0.859{col 54}{space 4} -.488477{col 67}{space 3} .4073695
{txt}{space 9}NL  {c |}{col 14}{res}{space 2}-.2976954{col 26}{space 2} .1924328{col 37}{space 1}   -1.55{col 46}{space 3}0.122{col 54}{space 4}-.6748569{col 67}{space 3}  .079466
{txt}{space 9}NO  {c |}{col 14}{res}{space 2} .4357788{col 26}{space 2} .1961594{col 37}{space 1}    2.22{col 46}{space 3}0.026{col 54}{space 4} .0513134{col 67}{space 3} .8202443
{txt}{space 9}PT  {c |}{col 14}{res}{space 2} .5057137{col 26}{space 2} .2883172{col 37}{space 1}    1.75{col 46}{space 3}0.079{col 54}{space 4}-.0593776{col 67}{space 3} 1.070805
{txt}{space 9}SE  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 12} {c |}
{space 4}iscoco10 {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0592436{col 26}{space 2} .1273694{col 37}{space 1}   -0.47{col 46}{space 3}0.642{col 54}{space 4}-.3088831{col 67}{space 3} .1903958
{txt}{space 10}3  {c |}{col 14}{res}{space 2} -.272906{col 26}{space 2} .1327952{col 37}{space 1}   -2.06{col 46}{space 3}0.040{col 54}{space 4}-.5331798{col 67}{space 3}-.0126322
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.4941952{col 26}{space 2} .1962985{col 37}{space 1}   -2.52{col 46}{space 3}0.012{col 54}{space 4}-.8789332{col 67}{space 3}-.1094571
{txt}{space 10}5  {c |}{col 14}{res}{space 2}-.8831034{col 26}{space 2} .1858552{col 37}{space 1}   -4.75{col 46}{space 3}0.000{col 54}{space 4}-1.247373{col 67}{space 3}-.5188338
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-1.003035{col 26}{space 2} .2325292{col 37}{space 1}   -4.31{col 46}{space 3}0.000{col 54}{space 4}-1.458784{col 67}{space 3}-.5472866
{txt}{space 10}7  {c |}{col 14}{res}{space 2}-.9870933{col 26}{space 2} .1482583{col 37}{space 1}   -6.66{col 46}{space 3}0.000{col 54}{space 4}-1.277674{col 67}{space 3}-.6965124
{txt}{space 10}8  {c |}{col 14}{res}{space 2}-1.214813{col 26}{space 2}  .171371{col 37}{space 1}   -7.09{col 46}{space 3}0.000{col 54}{space 4}-1.550694{col 67}{space 3}-.8789316
{txt}{space 10}9  {c |}{col 14}{res}{space 2}-.8917504{col 26}{space 2} .2099535{col 37}{space 1}   -4.25{col 46}{space 3}0.000{col 54}{space 4}-1.303252{col 67}{space 3} -.480249
{txt}{space 12} {c |}
{space 5}1.rural {c |}{col 14}{res}{space 2} -.146954{col 26}{space 2} .0796366{col 37}{space 1}   -1.85{col 46}{space 3}0.065{col 54}{space 4}-.3030388{col 67}{space 3} .0091309
{txt}{space 3}1.married {c |}{col 14}{res}{space 2}-.0143785{col 26}{space 2} .0903936{col 37}{space 1}   -0.16{col 46}{space 3}0.874{col 54}{space 4}-.1915467{col 67}{space 3} .1627898
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}  3.63501{col 26}{space 2}  7.49805{col 37}{space 1}    0.48{col 46}{space 3}0.628{col 54}{space 4} -11.0609{col 67}{space 3} 18.33092
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 15 26}Instrumented:{space 2}rtrd{p_end}
{p 0 15 26}Instruments:{space 3}eduyrs agea agesquared hinctnta ever_child lrscale brncntr 2.country 3.country 5.country 6.country 8.country 9.country 10.country 11.country 13.country 16.country 17.country 19.country 2.iscoco10 3.iscoco10 4.iscoco10 5.iscoco10 6.iscoco10 7.iscoco10 8.iscoco10 9.iscoco10 1.rural 1.married above_early above_full{p_end}

{com}. ivregress 2sls imtcjob (rtrd=above_early above_full) eduyrs agea agesquared hinctnta ever_child lrscale brncntr i.country i.iscoco10 i.rural i.married if cntry!="AT", robust 
{res}{txt}note: 1.country identifies no observations in the sample
note: 20.country omitted because of collinearity
{res}
{txt}{col 1}Instrumental variables (2SLS) regression{col 51}Number of obs{col 67}= {res}     3,422
{txt}{col 1}{col 51}Wald chi2({res}30{txt}){col 67}= {res}    454.06
{txt}{col 1}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}{col 1}{col 51}R-squared{col 67}= {res}    0.1159
{txt}{col 51}Root MSE{col 67}=    {res} 2.0282

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     imtcjob{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}rtrd {c |}{col 14}{res}{space 2} -.572792{col 26}{space 2}  .590199{col 37}{space 1}   -0.97{col 46}{space 3}0.332{col 54}{space 4}-1.729561{col 67}{space 3} .5839769
{txt}{space 6}eduyrs {c |}{col 14}{res}{space 2} .0511455{col 26}{space 2} .0105635{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0304413{col 67}{space 3} .0718496
{txt}{space 8}agea {c |}{col 14}{res}{space 2}-.0829452{col 26}{space 2} .2639903{col 37}{space 1}   -0.31{col 46}{space 3}0.753{col 54}{space 4}-.6003568{col 67}{space 3} .4344663
{txt}{space 2}agesquared {c |}{col 14}{res}{space 2} .0009456{col 26}{space 2} .0024514{col 37}{space 1}    0.39{col 46}{space 3}0.700{col 54}{space 4} -.003859{col 67}{space 3} .0057503
{txt}{space 4}hinctnta {c |}{col 14}{res}{space 2} .0347891{col 26}{space 2} .0185063{col 37}{space 1}    1.88{col 46}{space 3}0.060{col 54}{space 4}-.0014826{col 67}{space 3} .0710608
{txt}{space 2}ever_child {c |}{col 14}{res}{space 2}-.0124995{col 26}{space 2} .0989655{col 37}{space 1}   -0.13{col 46}{space 3}0.899{col 54}{space 4}-.2064682{col 67}{space 3} .1814692
{txt}{space 5}lrscale {c |}{col 14}{res}{space 2}-.0335275{col 26}{space 2} .0184349{col 37}{space 1}   -1.82{col 46}{space 3}0.069{col 54}{space 4}-.0696593{col 67}{space 3} .0026044
{txt}{space 5}brncntr {c |}{col 14}{res}{space 2} .4923452{col 26}{space 2} .1476634{col 37}{space 1}    3.33{col 46}{space 3}0.001{col 54}{space 4} .2029304{col 67}{space 3} .7817601
{txt}{space 12} {c |}
{space 5}country {c |}
{space 9}AT  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 9}BE  {c |}{col 14}{res}{space 2}-1.480337{col 26}{space 2}  .216138{col 37}{space 1}   -6.85{col 46}{space 3}0.000{col 54}{space 4}-1.903959{col 67}{space 3}-1.056714
{txt}{space 9}CH  {c |}{col 14}{res}{space 2}-.6155246{col 26}{space 2} .1858401{col 37}{space 1}   -3.31{col 46}{space 3}0.001{col 54}{space 4}-.9797645{col 67}{space 3}-.2512848
{txt}{space 9}DE  {c |}{col 14}{res}{space 2} -.428517{col 26}{space 2} .1656959{col 37}{space 1}   -2.59{col 46}{space 3}0.010{col 54}{space 4}-.7532749{col 67}{space 3}-.1037591
{txt}{space 9}DK  {c |}{col 14}{res}{space 2}-.6720522{col 26}{space 2} .1846517{col 37}{space 1}   -3.64{col 46}{space 3}0.000{col 54}{space 4}-1.033963{col 67}{space 3}-.3101414
{txt}{space 9}ES  {c |}{col 14}{res}{space 2}-1.254265{col 26}{space 2} .2167301{col 37}{space 1}   -5.79{col 46}{space 3}0.000{col 54}{space 4}-1.679048{col 67}{space 3}-.8294816
{txt}{space 9}FI  {c |}{col 14}{res}{space 2}-.4533849{col 26}{space 2} .1841312{col 37}{space 1}   -2.46{col 46}{space 3}0.014{col 54}{space 4}-.8142753{col 67}{space 3}-.0924945
{txt}{space 9}FR  {c |}{col 14}{res}{space 2} -.928383{col 26}{space 2}   .23625{col 37}{space 1}   -3.93{col 46}{space 3}0.000{col 54}{space 4}-1.391424{col 67}{space 3}-.4653414
{txt}{space 9}GB  {c |}{col 14}{res}{space 2} -1.35937{col 26}{space 2} .1964329{col 37}{space 1}   -6.92{col 46}{space 3}0.000{col 54}{space 4}-1.744372{col 67}{space 3}-.9743689
{txt}{space 9}IE  {c |}{col 14}{res}{space 2}-1.555107{col 26}{space 2} .2015293{col 37}{space 1}   -7.72{col 46}{space 3}0.000{col 54}{space 4}-1.950097{col 67}{space 3}-1.160117
{txt}{space 9}NL  {c |}{col 14}{res}{space 2}-1.244339{col 26}{space 2} .1669554{col 37}{space 1}   -7.45{col 46}{space 3}0.000{col 54}{space 4}-1.571565{col 67}{space 3}-.9171122
{txt}{space 9}NO  {c |}{col 14}{res}{space 2}-.1119367{col 26}{space 2}  .167436{col 37}{space 1}   -0.67{col 46}{space 3}0.504{col 54}{space 4}-.4401052{col 67}{space 3} .2162317
{txt}{space 9}PT  {c |}{col 14}{res}{space 2}-.6101559{col 26}{space 2} .2638329{col 37}{space 1}   -2.31{col 46}{space 3}0.021{col 54}{space 4}-1.127259{col 67}{space 3}-.0930528
{txt}{space 9}SE  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 12} {c |}
{space 4}iscoco10 {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0714662{col 26}{space 2} .1136271{col 37}{space 1}   -0.63{col 46}{space 3}0.529{col 54}{space 4}-.2941713{col 67}{space 3} .1512388
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.2276368{col 26}{space 2} .1207956{col 37}{space 1}   -1.88{col 46}{space 3}0.060{col 54}{space 4}-.4643918{col 67}{space 3} .0091182
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.1674169{col 26}{space 2} .1738994{col 37}{space 1}   -0.96{col 46}{space 3}0.336{col 54}{space 4}-.5082534{col 67}{space 3} .1734197
{txt}{space 10}5  {c |}{col 14}{res}{space 2}-.6233537{col 26}{space 2} .1632349{col 37}{space 1}   -3.82{col 46}{space 3}0.000{col 54}{space 4}-.9432882{col 67}{space 3}-.3034192
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.7576732{col 26}{space 2} .2381766{col 37}{space 1}   -3.18{col 46}{space 3}0.001{col 54}{space 4}-1.224491{col 67}{space 3}-.2908555
{txt}{space 10}7  {c |}{col 14}{res}{space 2}  -.64608{col 26}{space 2} .1396908{col 37}{space 1}   -4.63{col 46}{space 3}0.000{col 54}{space 4}-.9198689{col 67}{space 3} -.372291
{txt}{space 10}8  {c |}{col 14}{res}{space 2}-.7358397{col 26}{space 2} .1584395{col 37}{space 1}   -4.64{col 46}{space 3}0.000{col 54}{space 4}-1.046375{col 67}{space 3}-.4253039
{txt}{space 10}9  {c |}{col 14}{res}{space 2}-.7872811{col 26}{space 2} .1946544{col 37}{space 1}   -4.04{col 46}{space 3}0.000{col 54}{space 4}-1.168797{col 67}{space 3}-.4057656
{txt}{space 12} {c |}
{space 5}1.rural {c |}{col 14}{res}{space 2}-.1252617{col 26}{space 2} .0756979{col 37}{space 1}   -1.65{col 46}{space 3}0.098{col 54}{space 4}-.2736268{col 67}{space 3} .0231035
{txt}{space 3}1.married {c |}{col 14}{res}{space 2}-.0172714{col 26}{space 2}  .085803{col 37}{space 1}   -0.20{col 46}{space 3}0.840{col 54}{space 4}-.1854423{col 67}{space 3} .1508994
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 7.058337{col 26}{space 2} 7.172271{col 37}{space 1}    0.98{col 46}{space 3}0.325{col 54}{space 4}-6.999055{col 67}{space 3} 21.11573
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 15 26}Instrumented:{space 2}rtrd{p_end}
{p 0 15 26}Instruments:{space 3}eduyrs agea agesquared hinctnta ever_child lrscale brncntr 2.country 3.country 5.country 6.country 8.country 9.country 10.country 11.country 13.country 16.country 17.country 19.country 2.iscoco10 3.iscoco10 4.iscoco10 5.iscoco10 6.iscoco10 7.iscoco10 8.iscoco10 9.iscoco10 1.rural 1.married above_early above_full{p_end}

{com}. ivregress 2sls imbleco (rtrd=above_early above_full) eduyrs agea agesquared hinctnta ever_child lrscale brncntr i.country i.iscoco10 i.rural i.married if cntry!="AT", robust 
{res}{txt}note: 1.country identifies no observations in the sample
note: 20.country omitted because of collinearity
{res}
{txt}{col 1}Instrumental variables (2SLS) regression{col 51}Number of obs{col 67}= {res}     3,412
{txt}{col 1}{col 51}Wald chi2({res}30{txt}){col 67}= {res}    313.66
{txt}{col 1}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}{col 1}{col 51}R-squared{col 67}= {res}    0.0753
{txt}{col 51}Root MSE{col 67}=    {res} 2.1028

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     imbleco{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}rtrd {c |}{col 14}{res}{space 2}-.6834852{col 26}{space 2} .6059585{col 37}{space 1}   -1.13{col 46}{space 3}0.259{col 54}{space 4}-1.871142{col 67}{space 3} .5041716
{txt}{space 6}eduyrs {c |}{col 14}{res}{space 2} .0373533{col 26}{space 2} .0111096{col 37}{space 1}    3.36{col 46}{space 3}0.001{col 54}{space 4} .0155789{col 67}{space 3} .0591277
{txt}{space 8}agea {c |}{col 14}{res}{space 2}-.0509912{col 26}{space 2} .2723424{col 37}{space 1}   -0.19{col 46}{space 3}0.851{col 54}{space 4}-.5847725{col 67}{space 3} .4827901
{txt}{space 2}agesquared {c |}{col 14}{res}{space 2} .0007681{col 26}{space 2} .0025277{col 37}{space 1}    0.30{col 46}{space 3}0.761{col 54}{space 4} -.004186{col 67}{space 3} .0057223
{txt}{space 4}hinctnta {c |}{col 14}{res}{space 2} .0340854{col 26}{space 2} .0189425{col 37}{space 1}    1.80{col 46}{space 3}0.072{col 54}{space 4}-.0030413{col 67}{space 3}  .071212
{txt}{space 2}ever_child {c |}{col 14}{res}{space 2}-.2640826{col 26}{space 2} .1021514{col 37}{space 1}   -2.59{col 46}{space 3}0.010{col 54}{space 4}-.4642957{col 67}{space 3}-.0638695
{txt}{space 5}lrscale {c |}{col 14}{res}{space 2}-.1358282{col 26}{space 2} .0188472{col 37}{space 1}   -7.21{col 46}{space 3}0.000{col 54}{space 4}-.1727681{col 67}{space 3}-.0988884
{txt}{space 5}brncntr {c |}{col 14}{res}{space 2} .6226033{col 26}{space 2} .1466344{col 37}{space 1}    4.25{col 46}{space 3}0.000{col 54}{space 4} .3352051{col 67}{space 3} .9100015
{txt}{space 12} {c |}
{space 5}country {c |}
{space 9}AT  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 9}BE  {c |}{col 14}{res}{space 2}-.7946499{col 26}{space 2} .2249073{col 37}{space 1}   -3.53{col 46}{space 3}0.000{col 54}{space 4} -1.23546{col 67}{space 3}-.3538398
{txt}{space 9}CH  {c |}{col 14}{res}{space 2}-.7023552{col 26}{space 2} .2074883{col 37}{space 1}   -3.39{col 46}{space 3}0.001{col 54}{space 4}-1.109025{col 67}{space 3}-.2956856
{txt}{space 9}DE  {c |}{col 14}{res}{space 2} -.162791{col 26}{space 2} .1820574{col 37}{space 1}   -0.89{col 46}{space 3}0.371{col 54}{space 4} -.519617{col 67}{space 3} .1940349
{txt}{space 9}DK  {c |}{col 14}{res}{space 2}-.2413712{col 26}{space 2} .2033509{col 37}{space 1}   -1.19{col 46}{space 3}0.235{col 54}{space 4}-.6399316{col 67}{space 3} .1571893
{txt}{space 9}ES  {c |}{col 14}{res}{space 2}-1.080232{col 26}{space 2} .2076094{col 37}{space 1}   -5.20{col 46}{space 3}0.000{col 54}{space 4}-1.487139{col 67}{space 3}-.6733253
{txt}{space 9}FI  {c |}{col 14}{res}{space 2}-.3988628{col 26}{space 2} .2023878{col 37}{space 1}   -1.97{col 46}{space 3}0.049{col 54}{space 4}-.7955356{col 67}{space 3}-.0021901
{txt}{space 9}FR  {c |}{col 14}{res}{space 2}-.4105347{col 26}{space 2} .2463029{col 37}{space 1}   -1.67{col 46}{space 3}0.096{col 54}{space 4}-.8932795{col 67}{space 3} .0722101
{txt}{space 9}GB  {c |}{col 14}{res}{space 2}-.7911781{col 26}{space 2} .2100108{col 37}{space 1}   -3.77{col 46}{space 3}0.000{col 54}{space 4}-1.202792{col 67}{space 3}-.3795646
{txt}{space 9}IE  {c |}{col 14}{res}{space 2}-.7909754{col 26}{space 2}  .223093{col 37}{space 1}   -3.55{col 46}{space 3}0.000{col 54}{space 4} -1.22823{col 67}{space 3}-.3537212
{txt}{space 9}NL  {c |}{col 14}{res}{space 2}-.5761611{col 26}{space 2} .1810332{col 37}{space 1}   -3.18{col 46}{space 3}0.001{col 54}{space 4}-.9309796{col 67}{space 3}-.2213426
{txt}{space 9}NO  {c |}{col 14}{res}{space 2}-.1967015{col 26}{space 2} .1829108{col 37}{space 1}   -1.08{col 46}{space 3}0.282{col 54}{space 4}   -.5552{col 67}{space 3}  .161797
{txt}{space 9}PT  {c |}{col 14}{res}{space 2} .2620657{col 26}{space 2} .2596348{col 37}{space 1}    1.01{col 46}{space 3}0.313{col 54}{space 4}-.2468091{col 67}{space 3} .7709406
{txt}{space 9}SE  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 12} {c |}
{space 4}iscoco10 {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0326077{col 26}{space 2} .1272756{col 37}{space 1}   -0.26{col 46}{space 3}0.798{col 54}{space 4}-.2820634{col 67}{space 3} .2168479
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.4011715{col 26}{space 2} .1285331{col 37}{space 1}   -3.12{col 46}{space 3}0.002{col 54}{space 4}-.6530917{col 67}{space 3}-.1492514
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.1713137{col 26}{space 2} .1885922{col 37}{space 1}   -0.91{col 46}{space 3}0.364{col 54}{space 4}-.5409476{col 67}{space 3} .1983202
{txt}{space 10}5  {c |}{col 14}{res}{space 2}-.4468245{col 26}{space 2} .1717601{col 37}{space 1}   -2.60{col 46}{space 3}0.009{col 54}{space 4}-.7834682{col 67}{space 3}-.1101808
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.8090423{col 26}{space 2} .2385601{col 37}{space 1}   -3.39{col 46}{space 3}0.001{col 54}{space 4}-1.276612{col 67}{space 3} -.341473
{txt}{space 10}7  {c |}{col 14}{res}{space 2}-.6313272{col 26}{space 2} .1455897{col 37}{space 1}   -4.34{col 46}{space 3}0.000{col 54}{space 4}-.9166778{col 67}{space 3}-.3459766
{txt}{space 10}8  {c |}{col 14}{res}{space 2}-.5965832{col 26}{space 2} .1612216{col 37}{space 1}   -3.70{col 46}{space 3}0.000{col 54}{space 4}-.9125716{col 67}{space 3}-.2805947
{txt}{space 10}9  {c |}{col 14}{res}{space 2}-.5680304{col 26}{space 2} .1934527{col 37}{space 1}   -2.94{col 46}{space 3}0.003{col 54}{space 4}-.9471908{col 67}{space 3}  -.18887
{txt}{space 12} {c |}
{space 5}1.rural {c |}{col 14}{res}{space 2} .0428467{col 26}{space 2} .0772527{col 37}{space 1}    0.55{col 46}{space 3}0.579{col 54}{space 4}-.1085658{col 67}{space 3} .1942591
{txt}{space 3}1.married {c |}{col 14}{res}{space 2} .1250541{col 26}{space 2} .0902184{col 37}{space 1}    1.39{col 46}{space 3}0.166{col 54}{space 4}-.0517706{col 67}{space 3} .3018789
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 5.474708{col 26}{space 2} 7.408089{col 37}{space 1}    0.74{col 46}{space 3}0.460{col 54}{space 4}-9.044879{col 67}{space 3} 19.99429
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 15 26}Instrumented:{space 2}rtrd{p_end}
{p 0 15 26}Instruments:{space 3}eduyrs agea agesquared hinctnta ever_child lrscale brncntr 2.country 3.country 5.country 6.country 8.country 9.country 10.country 11.country 13.country 16.country 17.country 19.country 2.iscoco10 3.iscoco10 4.iscoco10 5.iscoco10 6.iscoco10 7.iscoco10 8.iscoco10 9.iscoco10 1.rural 1.married above_early above_full{p_end}

{com}. *w/o BE

. ivregress 2sls imbgeco (rtrd=above_early above_full) eduyrs agea agesquared hinctnta ever_child lrscale brncntr i.country i.iscoco10 i.rural i.married if cntry!="BE", robust 
{res}{txt}note: 2.country identifies no observations in the sample
{res}
{txt}{col 1}Instrumental variables (2SLS) regression{col 51}Number of obs{col 67}= {res}     3,356
{txt}{col 1}{col 51}Wald chi2({res}30{txt}){col 67}= {res}    673.59
{txt}{col 1}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}{col 1}{col 51}R-squared{col 67}= {res}    0.1562
{txt}{col 51}Root MSE{col 67}=    {res} 2.1845

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     imbgeco{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}rtrd {c |}{col 14}{res}{space 2}-.5494522{col 26}{space 2} .6563406{col 37}{space 1}   -0.84{col 46}{space 3}0.403{col 54}{space 4}-1.835856{col 67}{space 3} .7369517
{txt}{space 6}eduyrs {c |}{col 14}{res}{space 2} .0748824{col 26}{space 2} .0117478{col 37}{space 1}    6.37{col 46}{space 3}0.000{col 54}{space 4}  .051857{col 67}{space 3} .0979077
{txt}{space 8}agea {c |}{col 14}{res}{space 2} .0983237{col 26}{space 2} .2975394{col 37}{space 1}    0.33{col 46}{space 3}0.741{col 54}{space 4}-.4848428{col 67}{space 3} .6814901
{txt}{space 2}agesquared {c |}{col 14}{res}{space 2}-.0005046{col 26}{space 2} .0027634{col 37}{space 1}   -0.18{col 46}{space 3}0.855{col 54}{space 4}-.0059207{col 67}{space 3} .0049116
{txt}{space 4}hinctnta {c |}{col 14}{res}{space 2} .0651708{col 26}{space 2} .0200368{col 37}{space 1}    3.25{col 46}{space 3}0.001{col 54}{space 4} .0258995{col 67}{space 3} .1044422
{txt}{space 2}ever_child {c |}{col 14}{res}{space 2}-.0996377{col 26}{space 2} .1032645{col 37}{space 1}   -0.96{col 46}{space 3}0.335{col 54}{space 4}-.3020324{col 67}{space 3} .1027571
{txt}{space 5}lrscale {c |}{col 14}{res}{space 2}-.1281991{col 26}{space 2} .0203158{col 37}{space 1}   -6.31{col 46}{space 3}0.000{col 54}{space 4}-.1680173{col 67}{space 3}-.0883808
{txt}{space 5}brncntr {c |}{col 14}{res}{space 2} .6322508{col 26}{space 2}  .164857{col 37}{space 1}    3.84{col 46}{space 3}0.000{col 54}{space 4}  .309137{col 67}{space 3} .9553646
{txt}{space 12} {c |}
{space 5}country {c |}
{space 9}BE  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 9}CH  {c |}{col 14}{res}{space 2} 1.224288{col 26}{space 2}  .227251{col 37}{space 1}    5.39{col 46}{space 3}0.000{col 54}{space 4} .7788846{col 67}{space 3} 1.669692
{txt}{space 9}DE  {c |}{col 14}{res}{space 2} .7449688{col 26}{space 2} .1985684{col 37}{space 1}    3.75{col 46}{space 3}0.000{col 54}{space 4} .3557818{col 67}{space 3} 1.134156
{txt}{space 9}DK  {c |}{col 14}{res}{space 2} .1822894{col 26}{space 2} .2343784{col 37}{space 1}    0.78{col 46}{space 3}0.437{col 54}{space 4}-.2770838{col 67}{space 3} .6416627
{txt}{space 9}ES  {c |}{col 14}{res}{space 2} .7161227{col 26}{space 2} .2493069{col 37}{space 1}    2.87{col 46}{space 3}0.004{col 54}{space 4} .2274902{col 67}{space 3} 1.204755
{txt}{space 9}FI  {c |}{col 14}{res}{space 2} .5689999{col 26}{space 2} .2092933{col 37}{space 1}    2.72{col 46}{space 3}0.007{col 54}{space 4} .1587926{col 67}{space 3} .9792072
{txt}{space 9}FR  {c |}{col 14}{res}{space 2}-.1236297{col 26}{space 2} .2307204{col 37}{space 1}   -0.54{col 46}{space 3}0.592{col 54}{space 4}-.5758334{col 67}{space 3} .3285741
{txt}{space 9}GB  {c |}{col 14}{res}{space 2}-.2348813{col 26}{space 2} .2235129{col 37}{space 1}   -1.05{col 46}{space 3}0.293{col 54}{space 4}-.6729584{col 67}{space 3} .2031959
{txt}{space 9}IE  {c |}{col 14}{res}{space 2} .1117819{col 26}{space 2} .2394943{col 37}{space 1}    0.47{col 46}{space 3}0.641{col 54}{space 4}-.3576184{col 67}{space 3} .5811821
{txt}{space 9}NL  {c |}{col 14}{res}{space 2} -.152726{col 26}{space 2} .2131863{col 37}{space 1}   -0.72{col 46}{space 3}0.474{col 54}{space 4}-.5705634{col 67}{space 3} .2651114
{txt}{space 9}NO  {c |}{col 14}{res}{space 2} .6024317{col 26}{space 2} .2355737{col 37}{space 1}    2.56{col 46}{space 3}0.011{col 54}{space 4} .1407157{col 67}{space 3} 1.064148
{txt}{space 9}PT  {c |}{col 14}{res}{space 2}  .638298{col 26}{space 2} .2887631{col 37}{space 1}    2.21{col 46}{space 3}0.027{col 54}{space 4} .0723327{col 67}{space 3} 1.204263
{txt}{space 9}SE  {c |}{col 14}{res}{space 2} .1826352{col 26}{space 2} .2457276{col 37}{space 1}    0.74{col 46}{space 3}0.457{col 54}{space 4}-.2989821{col 67}{space 3} .6642524
{txt}{space 12} {c |}
{space 4}iscoco10 {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.1067088{col 26}{space 2} .1311439{col 37}{space 1}   -0.81{col 46}{space 3}0.416{col 54}{space 4} -.363746{col 67}{space 3} .1503285
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.2587819{col 26}{space 2} .1366737{col 37}{space 1}   -1.89{col 46}{space 3}0.058{col 54}{space 4}-.5266574{col 67}{space 3} .0090937
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.3993596{col 26}{space 2}  .201854{col 37}{space 1}   -1.98{col 46}{space 3}0.048{col 54}{space 4}-.7949861{col 67}{space 3}-.0037331
{txt}{space 10}5  {c |}{col 14}{res}{space 2}-.8624643{col 26}{space 2} .1839543{col 37}{space 1}   -4.69{col 46}{space 3}0.000{col 54}{space 4}-1.223008{col 67}{space 3}-.5019204
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.9626823{col 26}{space 2} .2356251{col 37}{space 1}   -4.09{col 46}{space 3}0.000{col 54}{space 4}-1.424499{col 67}{space 3}-.5008655
{txt}{space 10}7  {c |}{col 14}{res}{space 2}-.9974857{col 26}{space 2} .1500611{col 37}{space 1}   -6.65{col 46}{space 3}0.000{col 54}{space 4}  -1.2916{col 67}{space 3}-.7033713
{txt}{space 10}8  {c |}{col 14}{res}{space 2}-1.299814{col 26}{space 2} .1736991{col 37}{space 1}   -7.48{col 46}{space 3}0.000{col 54}{space 4}-1.640258{col 67}{space 3}-.9593704
{txt}{space 10}9  {c |}{col 14}{res}{space 2} -.969887{col 26}{space 2}  .212228{col 37}{space 1}   -4.57{col 46}{space 3}0.000{col 54}{space 4}-1.385846{col 67}{space 3}-.5539277
{txt}{space 12} {c |}
{space 5}1.rural {c |}{col 14}{res}{space 2} -.148654{col 26}{space 2} .0811708{col 37}{space 1}   -1.83{col 46}{space 3}0.067{col 54}{space 4}-.3077458{col 67}{space 3} .0104378
{txt}{space 3}1.married {c |}{col 14}{res}{space 2} .0103047{col 26}{space 2} .0912295{col 37}{space 1}    0.11{col 46}{space 3}0.910{col 54}{space 4}-.1685018{col 67}{space 3} .1891112
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .5777311{col 26}{space 2}   8.1635{col 37}{space 1}    0.07{col 46}{space 3}0.944{col 54}{space 4}-15.42244{col 67}{space 3}  16.5779
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 15 26}Instrumented:{space 2}rtrd{p_end}
{p 0 15 26}Instruments:{space 3}eduyrs agea agesquared hinctnta ever_child lrscale brncntr 3.country 5.country 6.country 8.country 9.country 10.country 11.country 13.country 16.country 17.country 19.country 20.country 2.iscoco10 3.iscoco10 4.iscoco10 5.iscoco10 6.iscoco10 7.iscoco10 8.iscoco10 9.iscoco10 1.rural 1.married above_early above_full{p_end}

{com}. ivregress 2sls imtcjob (rtrd=above_early above_full) eduyrs agea agesquared hinctnta ever_child lrscale brncntr i.country i.iscoco10 i.rural i.married if cntry!="BE", robust 
{res}{txt}note: 2.country identifies no observations in the sample
{res}
{txt}{col 1}Instrumental variables (2SLS) regression{col 51}Number of obs{col 67}= {res}     3,349
{txt}{col 1}{col 51}Wald chi2({res}30{txt}){col 67}= {res}    466.49
{txt}{col 1}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}{col 1}{col 51}R-squared{col 67}= {res}    0.1240
{txt}{col 51}Root MSE{col 67}=    {res} 2.0254

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     imtcjob{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}rtrd {c |}{col 14}{res}{space 2}-.3740005{col 26}{space 2} .6483654{col 37}{space 1}   -0.58{col 46}{space 3}0.564{col 54}{space 4}-1.644773{col 67}{space 3} .8967723
{txt}{space 6}eduyrs {c |}{col 14}{res}{space 2} .0466302{col 26}{space 2} .0107613{col 37}{space 1}    4.33{col 46}{space 3}0.000{col 54}{space 4} .0255384{col 67}{space 3}  .067722
{txt}{space 8}agea {c |}{col 14}{res}{space 2}-.0587087{col 26}{space 2} .2886719{col 37}{space 1}   -0.20{col 46}{space 3}0.839{col 54}{space 4}-.6244952{col 67}{space 3} .5070777
{txt}{space 2}agesquared {c |}{col 14}{res}{space 2} .0006611{col 26}{space 2} .0026883{col 37}{space 1}    0.25{col 46}{space 3}0.806{col 54}{space 4}-.0046078{col 67}{space 3}   .00593
{txt}{space 4}hinctnta {c |}{col 14}{res}{space 2} .0367252{col 26}{space 2} .0185971{col 37}{space 1}    1.97{col 46}{space 3}0.048{col 54}{space 4} .0002756{col 67}{space 3} .0731749
{txt}{space 2}ever_child {c |}{col 14}{res}{space 2}-.0283279{col 26}{space 2} .0981048{col 37}{space 1}   -0.29{col 46}{space 3}0.773{col 54}{space 4}-.2206098{col 67}{space 3}  .163954
{txt}{space 5}lrscale {c |}{col 14}{res}{space 2}-.0401821{col 26}{space 2} .0186472{col 37}{space 1}   -2.15{col 46}{space 3}0.031{col 54}{space 4}  -.07673{col 67}{space 3}-.0036343
{txt}{space 5}brncntr {c |}{col 14}{res}{space 2}   .53639{col 26}{space 2} .1545066{col 37}{space 1}    3.47{col 46}{space 3}0.001{col 54}{space 4} .2335627{col 67}{space 3} .8392173
{txt}{space 12} {c |}
{space 5}country {c |}
{space 9}BE  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 9}CH  {c |}{col 14}{res}{space 2} .9947423{col 26}{space 2} .2172037{col 37}{space 1}    4.58{col 46}{space 3}0.000{col 54}{space 4} .5690309{col 67}{space 3} 1.420454
{txt}{space 9}DE  {c |}{col 14}{res}{space 2} 1.178957{col 26}{space 2} .1864971{col 37}{space 1}    6.32{col 46}{space 3}0.000{col 54}{space 4}  .813429{col 67}{space 3} 1.544484
{txt}{space 9}DK  {c |}{col 14}{res}{space 2} .9458233{col 26}{space 2} .2111801{col 37}{space 1}    4.48{col 46}{space 3}0.000{col 54}{space 4} .5319178{col 67}{space 3} 1.359729
{txt}{space 9}ES  {c |}{col 14}{res}{space 2} .3566674{col 26}{space 2} .2473215{col 37}{space 1}    1.44{col 46}{space 3}0.149{col 54}{space 4}-.1280738{col 67}{space 3} .8414086
{txt}{space 9}FI  {c |}{col 14}{res}{space 2} 1.164018{col 26}{space 2} .1949669{col 37}{space 1}    5.97{col 46}{space 3}0.000{col 54}{space 4}   .78189{col 67}{space 3} 1.546146
{txt}{space 9}FR  {c |}{col 14}{res}{space 2} .6508802{col 26}{space 2} .2259954{col 37}{space 1}    2.88{col 46}{space 3}0.004{col 54}{space 4} .2079373{col 67}{space 3} 1.093823
{txt}{space 9}GB  {c |}{col 14}{res}{space 2} .2593734{col 26}{space 2} .2148487{col 37}{space 1}    1.21{col 46}{space 3}0.227{col 54}{space 4}-.1617224{col 67}{space 3} .6804691
{txt}{space 9}IE  {c |}{col 14}{res}{space 2} .0863523{col 26}{space 2} .2242495{col 37}{space 1}    0.39{col 46}{space 3}0.700{col 54}{space 4}-.3531686{col 67}{space 3} .5258732
{txt}{space 9}NL  {c |}{col 14}{res}{space 2}  .377049{col 26}{space 2} .1980228{col 37}{space 1}    1.90{col 46}{space 3}0.057{col 54}{space 4}-.0110686{col 67}{space 3} .7651665
{txt}{space 9}NO  {c |}{col 14}{res}{space 2} 1.529396{col 26}{space 2} .2200847{col 37}{space 1}    6.95{col 46}{space 3}0.000{col 54}{space 4} 1.098038{col 67}{space 3} 1.960754
{txt}{space 9}PT  {c |}{col 14}{res}{space 2} .9669408{col 26}{space 2} .2745085{col 37}{space 1}    3.52{col 46}{space 3}0.000{col 54}{space 4}  .428914{col 67}{space 3} 1.504968
{txt}{space 9}SE  {c |}{col 14}{res}{space 2} 1.625405{col 26}{space 2} .2242708{col 37}{space 1}    7.25{col 46}{space 3}0.000{col 54}{space 4} 1.185843{col 67}{space 3} 2.064968
{txt}{space 12} {c |}
{space 4}iscoco10 {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.1289044{col 26}{space 2} .1168316{col 37}{space 1}   -1.10{col 46}{space 3}0.270{col 54}{space 4}-.3578902{col 67}{space 3} .1000814
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.2039724{col 26}{space 2} .1246462{col 37}{space 1}   -1.64{col 46}{space 3}0.102{col 54}{space 4}-.4482744{col 67}{space 3} .0403297
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.2039716{col 26}{space 2} .1732114{col 37}{space 1}   -1.18{col 46}{space 3}0.239{col 54}{space 4}-.5434597{col 67}{space 3} .1355165
{txt}{space 10}5  {c |}{col 14}{res}{space 2}-.6558699{col 26}{space 2} .1641152{col 37}{space 1}   -4.00{col 46}{space 3}0.000{col 54}{space 4}-.9775299{col 67}{space 3}  -.33421
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.8454403{col 26}{space 2}  .240778{col 37}{space 1}   -3.51{col 46}{space 3}0.000{col 54}{space 4}-1.317356{col 67}{space 3}-.3735242
{txt}{space 10}7  {c |}{col 14}{res}{space 2}-.7103914{col 26}{space 2} .1406336{col 37}{space 1}   -5.05{col 46}{space 3}0.000{col 54}{space 4}-.9860282{col 67}{space 3}-.4347547
{txt}{space 10}8  {c |}{col 14}{res}{space 2} -.742671{col 26}{space 2} .1604256{col 37}{space 1}   -4.63{col 46}{space 3}0.000{col 54}{space 4}-1.057099{col 67}{space 3}-.4282425
{txt}{space 10}9  {c |}{col 14}{res}{space 2}-.8890101{col 26}{space 2} .1967987{col 37}{space 1}   -4.52{col 46}{space 3}0.000{col 54}{space 4}-1.274729{col 67}{space 3}-.5032917
{txt}{space 12} {c |}
{space 5}1.rural {c |}{col 14}{res}{space 2}-.1666429{col 26}{space 2} .0773722{col 37}{space 1}   -2.15{col 46}{space 3}0.031{col 54}{space 4}-.3182897{col 67}{space 3}-.0149962
{txt}{space 3}1.married {c |}{col 14}{res}{space 2} .0067107{col 26}{space 2} .0857931{col 37}{space 1}    0.08{col 46}{space 3}0.938{col 54}{space 4}-.1614407{col 67}{space 3} .1748622
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 5.036107{col 26}{space 2} 7.893964{col 37}{space 1}    0.64{col 46}{space 3}0.523{col 54}{space 4}-10.43578{col 67}{space 3} 20.50799
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 15 26}Instrumented:{space 2}rtrd{p_end}
{p 0 15 26}Instruments:{space 3}eduyrs agea agesquared hinctnta ever_child lrscale brncntr 3.country 5.country 6.country 8.country 9.country 10.country 11.country 13.country 16.country 17.country 19.country 20.country 2.iscoco10 3.iscoco10 4.iscoco10 5.iscoco10 6.iscoco10 7.iscoco10 8.iscoco10 9.iscoco10 1.rural 1.married above_early above_full{p_end}

{com}. ivregress 2sls imbleco (rtrd=above_early above_full) eduyrs agea agesquared hinctnta ever_child lrscale brncntr i.country i.iscoco10 i.rural i.married if cntry!="BE", robust 
{res}{txt}note: 2.country identifies no observations in the sample
{res}
{txt}{col 1}Instrumental variables (2SLS) regression{col 51}Number of obs{col 67}= {res}     3,340
{txt}{col 1}{col 51}Wald chi2({res}30{txt}){col 67}= {res}    392.39
{txt}{col 1}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}{col 1}{col 51}R-squared{col 67}= {res}    0.0965
{txt}{col 51}Root MSE{col 67}=    {res} 2.1011

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     imbleco{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}rtrd {c |}{col 14}{res}{space 2}-.5772236{col 26}{space 2} .6560578{col 37}{space 1}   -0.88{col 46}{space 3}0.379{col 54}{space 4}-1.863073{col 67}{space 3} .7086261
{txt}{space 6}eduyrs {c |}{col 14}{res}{space 2} .0386652{col 26}{space 2}  .011216{col 37}{space 1}    3.45{col 46}{space 3}0.001{col 54}{space 4} .0166822{col 67}{space 3} .0606483
{txt}{space 8}agea {c |}{col 14}{res}{space 2}-.0805153{col 26}{space 2} .2945747{col 37}{space 1}   -0.27{col 46}{space 3}0.785{col 54}{space 4}-.6578711{col 67}{space 3} .4968405
{txt}{space 2}agesquared {c |}{col 14}{res}{space 2} .0009757{col 26}{space 2} .0027399{col 37}{space 1}    0.36{col 46}{space 3}0.722{col 54}{space 4}-.0043944{col 67}{space 3} .0063458
{txt}{space 4}hinctnta {c |}{col 14}{res}{space 2} .0337719{col 26}{space 2} .0191393{col 37}{space 1}    1.76{col 46}{space 3}0.078{col 54}{space 4}-.0037405{col 67}{space 3} .0712843
{txt}{space 2}ever_child {c |}{col 14}{res}{space 2}-.2699993{col 26}{space 2} .1021412{col 37}{space 1}   -2.64{col 46}{space 3}0.008{col 54}{space 4}-.4701922{col 67}{space 3}-.0698063
{txt}{space 5}lrscale {c |}{col 14}{res}{space 2}-.1534263{col 26}{space 2} .0193152{col 37}{space 1}   -7.94{col 46}{space 3}0.000{col 54}{space 4}-.1912834{col 67}{space 3}-.1155693
{txt}{space 5}brncntr {c |}{col 14}{res}{space 2} .7644442{col 26}{space 2} .1540695{col 37}{space 1}    4.96{col 46}{space 3}0.000{col 54}{space 4} .4624735{col 67}{space 3} 1.066415
{txt}{space 12} {c |}
{space 5}country {c |}
{space 9}BE  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 9}CH  {c |}{col 14}{res}{space 2} .6278967{col 26}{space 2} .2270008{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .1829832{col 67}{space 3}  1.07281
{txt}{space 9}DE  {c |}{col 14}{res}{space 2} 1.141819{col 26}{space 2} .1871914{col 37}{space 1}    6.10{col 46}{space 3}0.000{col 54}{space 4} .7749307{col 67}{space 3} 1.508707
{txt}{space 9}DK  {c |}{col 14}{res}{space 2}  1.09712{col 26}{space 2}  .218316{col 37}{space 1}    5.03{col 46}{space 3}0.000{col 54}{space 4} .6692284{col 67}{space 3} 1.525011
{txt}{space 9}ES  {c |}{col 14}{res}{space 2} .2425963{col 26}{space 2} .2311006{col 37}{space 1}    1.05{col 46}{space 3}0.294{col 54}{space 4}-.2103526{col 67}{space 3} .6955452
{txt}{space 9}FI  {c |}{col 14}{res}{space 2} .9485396{col 26}{space 2} .2007412{col 37}{space 1}    4.73{col 46}{space 3}0.000{col 54}{space 4} .5550942{col 67}{space 3} 1.341985
{txt}{space 9}FR  {c |}{col 14}{res}{space 2} .8980986{col 26}{space 2} .2251047{col 37}{space 1}    3.99{col 46}{space 3}0.000{col 54}{space 4} .4569015{col 67}{space 3} 1.339296
{txt}{space 9}GB  {c |}{col 14}{res}{space 2}  .551721{col 26}{space 2} .2183392{col 37}{space 1}    2.53{col 46}{space 3}0.012{col 54}{space 4} .1237841{col 67}{space 3} .9796579
{txt}{space 9}IE  {c |}{col 14}{res}{space 2}  .570986{col 26}{space 2} .2326008{col 37}{space 1}    2.45{col 46}{space 3}0.014{col 54}{space 4} .1150968{col 67}{space 3} 1.026875
{txt}{space 9}NL  {c |}{col 14}{res}{space 2} .7617451{col 26}{space 2} .1987993{col 37}{space 1}    3.83{col 46}{space 3}0.000{col 54}{space 4} .3721057{col 67}{space 3} 1.151385
{txt}{space 9}NO  {c |}{col 14}{res}{space 2} 1.148962{col 26}{space 2} .2230218{col 37}{space 1}    5.15{col 46}{space 3}0.000{col 54}{space 4}  .711847{col 67}{space 3} 1.586077
{txt}{space 9}PT  {c |}{col 14}{res}{space 2} 1.583429{col 26}{space 2} .2629652{col 37}{space 1}    6.02{col 46}{space 3}0.000{col 54}{space 4} 1.068027{col 67}{space 3} 2.098831
{txt}{space 9}SE  {c |}{col 14}{res}{space 2} 1.329465{col 26}{space 2} .2344832{col 37}{space 1}    5.67{col 46}{space 3}0.000{col 54}{space 4}  .869886{col 67}{space 3} 1.789043
{txt}{space 12} {c |}
{space 4}iscoco10 {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0185907{col 26}{space 2} .1328314{col 37}{space 1}   -0.14{col 46}{space 3}0.889{col 54}{space 4}-.2789354{col 67}{space 3}  .241754
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.3135018{col 26}{space 2} .1320607{col 37}{space 1}   -2.37{col 46}{space 3}0.018{col 54}{space 4}-.5723361{col 67}{space 3}-.0546676
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.1449876{col 26}{space 2} .1960546{col 37}{space 1}   -0.74{col 46}{space 3}0.460{col 54}{space 4}-.5292476{col 67}{space 3} .2392725
{txt}{space 10}5  {c |}{col 14}{res}{space 2} -.448138{col 26}{space 2} .1714484{col 37}{space 1}   -2.61{col 46}{space 3}0.009{col 54}{space 4}-.7841708{col 67}{space 3}-.1121052
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.8282213{col 26}{space 2} .2395421{col 37}{space 1}   -3.46{col 46}{space 3}0.001{col 54}{space 4}-1.297715{col 67}{space 3}-.3587275
{txt}{space 10}7  {c |}{col 14}{res}{space 2}-.5997958{col 26}{space 2} .1452739{col 37}{space 1}   -4.13{col 46}{space 3}0.000{col 54}{space 4}-.8845275{col 67}{space 3}-.3150642
{txt}{space 10}8  {c |}{col 14}{res}{space 2}-.5731279{col 26}{space 2} .1660579{col 37}{space 1}   -3.45{col 46}{space 3}0.001{col 54}{space 4}-.8985954{col 67}{space 3}-.2476603
{txt}{space 10}9  {c |}{col 14}{res}{space 2} -.721042{col 26}{space 2} .1929226{col 37}{space 1}   -3.74{col 46}{space 3}0.000{col 54}{space 4}-1.099163{col 67}{space 3}-.3429207
{txt}{space 12} {c |}
{space 5}1.rural {c |}{col 14}{res}{space 2}-.0276373{col 26}{space 2} .0785003{col 37}{space 1}   -0.35{col 46}{space 3}0.725{col 54}{space 4}-.1814951{col 67}{space 3} .1262204
{txt}{space 3}1.married {c |}{col 14}{res}{space 2} .1460602{col 26}{space 2} .0906147{col 37}{space 1}    1.61{col 46}{space 3}0.107{col 54}{space 4}-.0315414{col 67}{space 3} .3236617
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 5.046943{col 26}{space 2} 8.071656{col 37}{space 1}    0.63{col 46}{space 3}0.532{col 54}{space 4}-10.77321{col 67}{space 3}  20.8671
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 15 26}Instrumented:{space 2}rtrd{p_end}
{p 0 15 26}Instruments:{space 3}eduyrs agea agesquared hinctnta ever_child lrscale brncntr 3.country 5.country 6.country 8.country 9.country 10.country 11.country 13.country 16.country 17.country 19.country 20.country 2.iscoco10 3.iscoco10 4.iscoco10 5.iscoco10 6.iscoco10 7.iscoco10 8.iscoco10 9.iscoco10 1.rural 1.married above_early above_full{p_end}

{com}. *w/o DK

. ivregress 2sls imbgeco (rtrd=above_early above_full) eduyrs agea agesquared hinctnta ever_child lrscale brncntr i.country i.iscoco10 i.rural i.married if cntry!="DK", robust 
{res}{txt}note: 6.country identifies no observations in the sample
{res}
{txt}{col 1}Instrumental variables (2SLS) regression{col 51}Number of obs{col 67}= {res}     3,397
{txt}{col 1}{col 51}Wald chi2({res}30{txt}){col 67}= {res}    699.92
{txt}{col 1}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}{col 1}{col 51}R-squared{col 67}= {res}    0.1548
{txt}{col 51}Root MSE{col 67}=    {res} 2.1914

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     imbgeco{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}rtrd {c |}{col 14}{res}{space 2}-.8276449{col 26}{space 2} .6656674{col 37}{space 1}   -1.24{col 46}{space 3}0.214{col 54}{space 4}-2.132329{col 67}{space 3} .4770394
{txt}{space 6}eduyrs {c |}{col 14}{res}{space 2} .0741212{col 26}{space 2} .0122751{col 37}{space 1}    6.04{col 46}{space 3}0.000{col 54}{space 4} .0500624{col 67}{space 3}   .09818
{txt}{space 8}agea {c |}{col 14}{res}{space 2} .0615371{col 26}{space 2}   .29276{col 37}{space 1}    0.21{col 46}{space 3}0.834{col 54}{space 4} -.512262{col 67}{space 3} .6353362
{txt}{space 2}agesquared {c |}{col 14}{res}{space 2} -.000061{col 26}{space 2} .0027287{col 37}{space 1}   -0.02{col 46}{space 3}0.982{col 54}{space 4}-.0054091{col 67}{space 3} .0052871
{txt}{space 4}hinctnta {c |}{col 14}{res}{space 2} .0671339{col 26}{space 2} .0200993{col 37}{space 1}    3.34{col 46}{space 3}0.001{col 54}{space 4} .0277399{col 67}{space 3} .1065279
{txt}{space 2}ever_child {c |}{col 14}{res}{space 2}-.0906712{col 26}{space 2} .1023694{col 37}{space 1}   -0.89{col 46}{space 3}0.376{col 54}{space 4}-.2913116{col 67}{space 3} .1099692
{txt}{space 5}lrscale {c |}{col 14}{res}{space 2}-.1475867{col 26}{space 2} .0199494{col 37}{space 1}   -7.40{col 46}{space 3}0.000{col 54}{space 4}-.1866868{col 67}{space 3}-.1084867
{txt}{space 5}brncntr {c |}{col 14}{res}{space 2} .6226488{col 26}{space 2} .1603061{col 37}{space 1}    3.88{col 46}{space 3}0.000{col 54}{space 4} .3084546{col 67}{space 3}  .936843
{txt}{space 12} {c |}
{space 5}country {c |}
{space 9}BE  {c |}{col 14}{res}{space 2}-.3762402{col 26}{space 2} .2252334{col 37}{space 1}   -1.67{col 46}{space 3}0.095{col 54}{space 4}-.8176895{col 67}{space 3} .0652092
{txt}{space 9}CH  {c |}{col 14}{res}{space 2} 1.220069{col 26}{space 2} .2269894{col 37}{space 1}    5.38{col 46}{space 3}0.000{col 54}{space 4} .7751774{col 67}{space 3}  1.66496
{txt}{space 9}DE  {c |}{col 14}{res}{space 2} .7358624{col 26}{space 2} .1977505{col 37}{space 1}    3.72{col 46}{space 3}0.000{col 54}{space 4} .3482784{col 67}{space 3} 1.123446
{txt}{space 9}DK  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 9}ES  {c |}{col 14}{res}{space 2} .6832429{col 26}{space 2} .2493736{col 37}{space 1}    2.74{col 46}{space 3}0.006{col 54}{space 4} .1944796{col 67}{space 3} 1.172006
{txt}{space 9}FI  {c |}{col 14}{res}{space 2} .5775198{col 26}{space 2} .2085307{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .1688071{col 67}{space 3} .9862326
{txt}{space 9}FR  {c |}{col 14}{res}{space 2} -.090691{col 26}{space 2} .2296952{col 37}{space 1}   -0.39{col 46}{space 3}0.693{col 54}{space 4}-.5408854{col 67}{space 3} .3595033
{txt}{space 9}GB  {c |}{col 14}{res}{space 2}-.2394371{col 26}{space 2} .2227416{col 37}{space 1}   -1.07{col 46}{space 3}0.282{col 54}{space 4}-.6760026{col 67}{space 3} .1971285
{txt}{space 9}IE  {c |}{col 14}{res}{space 2} .1103759{col 26}{space 2} .2389426{col 37}{space 1}    0.46{col 46}{space 3}0.644{col 54}{space 4}-.3579429{col 67}{space 3} .5786948
{txt}{space 9}NL  {c |}{col 14}{res}{space 2}-.1620014{col 26}{space 2} .2125519{col 37}{space 1}   -0.76{col 46}{space 3}0.446{col 54}{space 4}-.5785955{col 67}{space 3} .2545927
{txt}{space 9}NO  {c |}{col 14}{res}{space 2} .5744457{col 26}{space 2} .2345841{col 37}{space 1}    2.45{col 46}{space 3}0.014{col 54}{space 4} .1146693{col 67}{space 3} 1.034222
{txt}{space 9}PT  {c |}{col 14}{res}{space 2} .6421257{col 26}{space 2} .2886306{col 37}{space 1}    2.22{col 46}{space 3}0.026{col 54}{space 4} .0764202{col 67}{space 3} 1.207831
{txt}{space 9}SE  {c |}{col 14}{res}{space 2} .1333382{col 26}{space 2} .2455143{col 37}{space 1}    0.54{col 46}{space 3}0.587{col 54}{space 4} -.347861{col 67}{space 3} .6145373
{txt}{space 12} {c |}
{space 4}iscoco10 {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.1006246{col 26}{space 2} .1307856{col 37}{space 1}   -0.77{col 46}{space 3}0.442{col 54}{space 4}-.3569598{col 67}{space 3} .1557105
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.3126294{col 26}{space 2} .1332992{col 37}{space 1}   -2.35{col 46}{space 3}0.019{col 54}{space 4}-.5738911{col 67}{space 3}-.0513678
{txt}{space 10}4  {c |}{col 14}{res}{space 2} -.483957{col 26}{space 2} .1976486{col 37}{space 1}   -2.45{col 46}{space 3}0.014{col 54}{space 4}-.8713411{col 67}{space 3} -.096573
{txt}{space 10}5  {c |}{col 14}{res}{space 2}-.8013525{col 26}{space 2} .1857007{col 37}{space 1}   -4.32{col 46}{space 3}0.000{col 54}{space 4}-1.165319{col 67}{space 3}-.4373858
{txt}{space 10}6  {c |}{col 14}{res}{space 2}  -1.0763{col 26}{space 2} .2395458{col 37}{space 1}   -4.49{col 46}{space 3}0.000{col 54}{space 4}-1.545801{col 67}{space 3}-.6067987
{txt}{space 10}7  {c |}{col 14}{res}{space 2}-.9711606{col 26}{space 2}  .148406{col 37}{space 1}   -6.54{col 46}{space 3}0.000{col 54}{space 4}-1.262031{col 67}{space 3}-.6802903
{txt}{space 10}8  {c |}{col 14}{res}{space 2}-1.193478{col 26}{space 2} .1710948{col 37}{space 1}   -6.98{col 46}{space 3}0.000{col 54}{space 4}-1.528818{col 67}{space 3}-.8581383
{txt}{space 10}9  {c |}{col 14}{res}{space 2}-.9756418{col 26}{space 2} .2118594{col 37}{space 1}   -4.61{col 46}{space 3}0.000{col 54}{space 4}-1.390879{col 67}{space 3} -.560405
{txt}{space 12} {c |}
{space 5}1.rural {c |}{col 14}{res}{space 2}-.1395709{col 26}{space 2} .0802854{col 37}{space 1}   -1.74{col 46}{space 3}0.082{col 54}{space 4}-.2969274{col 67}{space 3} .0177856
{txt}{space 3}1.married {c |}{col 14}{res}{space 2}-.0039213{col 26}{space 2} .0909566{col 37}{space 1}   -0.04{col 46}{space 3}0.966{col 54}{space 4}-.1821929{col 67}{space 3} .1743504
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 1.376592{col 26}{space 2} 8.013722{col 37}{space 1}    0.17{col 46}{space 3}0.864{col 54}{space 4}-14.33001{col 67}{space 3}  17.0832
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 15 26}Instrumented:{space 2}rtrd{p_end}
{p 0 15 26}Instruments:{space 3}eduyrs agea agesquared hinctnta ever_child lrscale brncntr 2.country 3.country 5.country 8.country 9.country 10.country 11.country 13.country 16.country 17.country 19.country 20.country 2.iscoco10 3.iscoco10 4.iscoco10 5.iscoco10 6.iscoco10 7.iscoco10 8.iscoco10 9.iscoco10 1.rural 1.married above_early above_full{p_end}

{com}. ivregress 2sls imtcjob (rtrd=above_early above_full) eduyrs agea agesquared hinctnta ever_child lrscale brncntr i.country i.iscoco10 i.rural i.married if cntry!="DK", robust 
{res}{txt}note: 6.country identifies no observations in the sample
{res}
{txt}{col 1}Instrumental variables (2SLS) regression{col 51}Number of obs{col 67}= {res}     3,390
{txt}{col 1}{col 51}Wald chi2({res}30{txt}){col 67}= {res}    490.55
{txt}{col 1}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}{col 1}{col 51}R-squared{col 67}= {res}    0.1262
{txt}{col 51}Root MSE{col 67}=    {res} 2.0449

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     imtcjob{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}rtrd {c |}{col 14}{res}{space 2}-.4689283{col 26}{space 2} .6465562{col 37}{space 1}   -0.73{col 46}{space 3}0.468{col 54}{space 4}-1.736155{col 67}{space 3} .7982985
{txt}{space 6}eduyrs {c |}{col 14}{res}{space 2} .0518904{col 26}{space 2} .0110285{col 37}{space 1}    4.71{col 46}{space 3}0.000{col 54}{space 4}  .030275{col 67}{space 3} .0735058
{txt}{space 8}agea {c |}{col 14}{res}{space 2}-.0114431{col 26}{space 2} .2811565{col 37}{space 1}   -0.04{col 46}{space 3}0.968{col 54}{space 4}-.5624997{col 67}{space 3} .5396134
{txt}{space 2}agesquared {c |}{col 14}{res}{space 2}  .000315{col 26}{space 2} .0026255{col 37}{space 1}    0.12{col 46}{space 3}0.905{col 54}{space 4}-.0048309{col 67}{space 3} .0054609
{txt}{space 4}hinctnta {c |}{col 14}{res}{space 2} .0310833{col 26}{space 2} .0186596{col 37}{space 1}    1.67{col 46}{space 3}0.096{col 54}{space 4}-.0054888{col 67}{space 3} .0676555
{txt}{space 2}ever_child {c |}{col 14}{res}{space 2} .0122495{col 26}{space 2} .0982981{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1804113{col 67}{space 3} .2049103
{txt}{space 5}lrscale {c |}{col 14}{res}{space 2}-.0439834{col 26}{space 2} .0185803{col 37}{space 1}   -2.37{col 46}{space 3}0.018{col 54}{space 4}   -.0804{col 67}{space 3}-.0075667
{txt}{space 5}brncntr {c |}{col 14}{res}{space 2} .5792333{col 26}{space 2} .1509106{col 37}{space 1}    3.84{col 46}{space 3}0.000{col 54}{space 4}  .283454{col 67}{space 3} .8750127
{txt}{space 12} {c |}
{space 5}country {c |}
{space 9}BE  {c |}{col 14}{res}{space 2} .1166067{col 26}{space 2} .2139012{col 37}{space 1}    0.55{col 46}{space 3}0.586{col 54}{space 4} -.302632{col 67}{space 3} .5358454
{txt}{space 9}CH  {c |}{col 14}{res}{space 2} .9872571{col 26}{space 2} .2173277{col 37}{space 1}    4.54{col 46}{space 3}0.000{col 54}{space 4} .5613025{col 67}{space 3} 1.413212
{txt}{space 9}DE  {c |}{col 14}{res}{space 2} 1.174037{col 26}{space 2} .1863586{col 37}{space 1}    6.30{col 46}{space 3}0.000{col 54}{space 4} .8087814{col 67}{space 3} 1.539294
{txt}{space 9}DK  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 9}ES  {c |}{col 14}{res}{space 2}  .354703{col 26}{space 2} .2477895{col 37}{space 1}    1.43{col 46}{space 3}0.152{col 54}{space 4}-.1309556{col 67}{space 3} .8403615
{txt}{space 9}FI  {c |}{col 14}{res}{space 2} 1.162865{col 26}{space 2} .1950539{col 37}{space 1}    5.96{col 46}{space 3}0.000{col 54}{space 4} .7805668{col 67}{space 3} 1.545164
{txt}{space 9}FR  {c |}{col 14}{res}{space 2} .6634845{col 26}{space 2}   .22538{col 37}{space 1}    2.94{col 46}{space 3}0.003{col 54}{space 4} .2217478{col 67}{space 3} 1.105221
{txt}{space 9}GB  {c |}{col 14}{res}{space 2} .2519541{col 26}{space 2} .2146202{col 37}{space 1}    1.17{col 46}{space 3}0.240{col 54}{space 4}-.1686938{col 67}{space 3} .6726019
{txt}{space 9}IE  {c |}{col 14}{res}{space 2} .0648722{col 26}{space 2} .2242648{col 37}{space 1}    0.29{col 46}{space 3}0.772{col 54}{space 4}-.3746788{col 67}{space 3} .5044232
{txt}{space 9}NL  {c |}{col 14}{res}{space 2} .3676192{col 26}{space 2} .1980346{col 37}{space 1}    1.86{col 46}{space 3}0.063{col 54}{space 4}-.0205216{col 67}{space 3}   .75576
{txt}{space 9}NO  {c |}{col 14}{res}{space 2} 1.504922{col 26}{space 2} .2196654{col 37}{space 1}    6.85{col 46}{space 3}0.000{col 54}{space 4} 1.074385{col 67}{space 3} 1.935458
{txt}{space 9}PT  {c |}{col 14}{res}{space 2} .9963848{col 26}{space 2} .2742087{col 37}{space 1}    3.63{col 46}{space 3}0.000{col 54}{space 4} .4589455{col 67}{space 3} 1.533824
{txt}{space 9}SE  {c |}{col 14}{res}{space 2} 1.618319{col 26}{space 2} .2240576{col 37}{space 1}    7.22{col 46}{space 3}0.000{col 54}{space 4} 1.179174{col 67}{space 3} 2.057464
{txt}{space 12} {c |}
{space 4}iscoco10 {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.1009265{col 26}{space 2}   .11629{col 37}{space 1}   -0.87{col 46}{space 3}0.385{col 54}{space 4}-.3288508{col 67}{space 3} .1269977
{txt}{space 10}3  {c |}{col 14}{res}{space 2}   -.2555{col 26}{space 2} .1213243{col 37}{space 1}   -2.11{col 46}{space 3}0.035{col 54}{space 4}-.4932913{col 67}{space 3}-.0177087
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.2034057{col 26}{space 2} .1694975{col 37}{space 1}   -1.20{col 46}{space 3}0.230{col 54}{space 4}-.5356148{col 67}{space 3} .1288033
{txt}{space 10}5  {c |}{col 14}{res}{space 2}-.6197408{col 26}{space 2} .1658316{col 37}{space 1}   -3.74{col 46}{space 3}0.000{col 54}{space 4}-.9447648{col 67}{space 3}-.2947168
{txt}{space 10}6  {c |}{col 14}{res}{space 2} -.857228{col 26}{space 2}   .24946{col 37}{space 1}   -3.44{col 46}{space 3}0.001{col 54}{space 4}-1.346161{col 67}{space 3}-.3682953
{txt}{space 10}7  {c |}{col 14}{res}{space 2}-.6828014{col 26}{space 2} .1393605{col 37}{space 1}   -4.90{col 46}{space 3}0.000{col 54}{space 4} -.955943{col 67}{space 3}-.4096599
{txt}{space 10}8  {c |}{col 14}{res}{space 2}-.7365129{col 26}{space 2} .1575404{col 37}{space 1}   -4.68{col 46}{space 3}0.000{col 54}{space 4}-1.045286{col 67}{space 3}-.4277394
{txt}{space 10}9  {c |}{col 14}{res}{space 2}-.8477371{col 26}{space 2} .1971065{col 37}{space 1}   -4.30{col 46}{space 3}0.000{col 54}{space 4}-1.234059{col 67}{space 3}-.4614155
{txt}{space 12} {c |}
{space 5}1.rural {c |}{col 14}{res}{space 2}-.1141899{col 26}{space 2} .0765896{col 37}{space 1}   -1.49{col 46}{space 3}0.136{col 54}{space 4}-.2643027{col 67}{space 3} .0359229
{txt}{space 3}1.married {c |}{col 14}{res}{space 2}-.0295264{col 26}{space 2} .0862102{col 37}{space 1}   -0.34{col 46}{space 3}0.732{col 54}{space 4}-.1984954{col 67}{space 3} .1394425
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 3.396125{col 26}{space 2}  7.67459{col 37}{space 1}    0.44{col 46}{space 3}0.658{col 54}{space 4}-11.64579{col 67}{space 3} 18.43805
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 15 26}Instrumented:{space 2}rtrd{p_end}
{p 0 15 26}Instruments:{space 3}eduyrs agea agesquared hinctnta ever_child lrscale brncntr 2.country 3.country 5.country 8.country 9.country 10.country 11.country 13.country 16.country 17.country 19.country 20.country 2.iscoco10 3.iscoco10 4.iscoco10 5.iscoco10 6.iscoco10 7.iscoco10 8.iscoco10 9.iscoco10 1.rural 1.married above_early above_full{p_end}

{com}. ivregress 2sls imbleco (rtrd=above_early above_full) eduyrs agea agesquared hinctnta ever_child lrscale brncntr i.country i.iscoco10 i.rural i.married if cntry!="DK", robust 
{res}{txt}note: 6.country identifies no observations in the sample
{res}
{txt}{col 1}Instrumental variables (2SLS) regression{col 51}Number of obs{col 67}= {res}     3,378
{txt}{col 1}{col 51}Wald chi2({res}30{txt}){col 67}= {res}    396.14
{txt}{col 1}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}{col 1}{col 51}R-squared{col 67}= {res}    0.0988
{txt}{col 51}Root MSE{col 67}=    {res} 2.1062

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     imbleco{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}rtrd {c |}{col 14}{res}{space 2}-.4505709{col 26}{space 2} .6673346{col 37}{space 1}   -0.68{col 46}{space 3}0.500{col 54}{space 4}-1.758523{col 67}{space 3}  .857381
{txt}{space 6}eduyrs {c |}{col 14}{res}{space 2}    .0481{col 26}{space 2} .0115136{col 37}{space 1}    4.18{col 46}{space 3}0.000{col 54}{space 4} .0255338{col 67}{space 3} .0706661
{txt}{space 8}agea {c |}{col 14}{res}{space 2} .0361395{col 26}{space 2} .2908263{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.5338697{col 67}{space 3} .6061486
{txt}{space 2}agesquared {c |}{col 14}{res}{space 2}-.0000564{col 26}{space 2} .0027149{col 37}{space 1}   -0.02{col 46}{space 3}0.983{col 54}{space 4}-.0053775{col 67}{space 3} .0052647
{txt}{space 4}hinctnta {c |}{col 14}{res}{space 2} .0266701{col 26}{space 2} .0192599{col 37}{space 1}    1.38{col 46}{space 3}0.166{col 54}{space 4}-.0110787{col 67}{space 3} .0644189
{txt}{space 2}ever_child {c |}{col 14}{res}{space 2}-.2144223{col 26}{space 2} .1013239{col 37}{space 1}   -2.12{col 46}{space 3}0.034{col 54}{space 4}-.4130135{col 67}{space 3}-.0158312
{txt}{space 5}lrscale {c |}{col 14}{res}{space 2}-.1488124{col 26}{space 2} .0191176{col 37}{space 1}   -7.78{col 46}{space 3}0.000{col 54}{space 4}-.1862823{col 67}{space 3}-.1113426
{txt}{space 5}brncntr {c |}{col 14}{res}{space 2} .7966601{col 26}{space 2} .1505954{col 37}{space 1}    5.29{col 46}{space 3}0.000{col 54}{space 4} .5014985{col 67}{space 3} 1.091822
{txt}{space 12} {c |}
{space 5}country {c |}
{space 9}BE  {c |}{col 14}{res}{space 2}  .515881{col 26}{space 2} .2158809{col 37}{space 1}    2.39{col 46}{space 3}0.017{col 54}{space 4} .0927622{col 67}{space 3} .9389999
{txt}{space 9}CH  {c |}{col 14}{res}{space 2} .6387782{col 26}{space 2} .2272517{col 37}{space 1}    2.81{col 46}{space 3}0.005{col 54}{space 4} .1933731{col 67}{space 3} 1.084183
{txt}{space 9}DE  {c |}{col 14}{res}{space 2} 1.141176{col 26}{space 2}  .187177{col 37}{space 1}    6.10{col 46}{space 3}0.000{col 54}{space 4} .7743153{col 67}{space 3} 1.508036
{txt}{space 9}DK  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 9}ES  {c |}{col 14}{res}{space 2} .2587345{col 26}{space 2} .2307499{col 37}{space 1}    1.12{col 46}{space 3}0.262{col 54}{space 4}-.1935269{col 67}{space 3} .7109959
{txt}{space 9}FI  {c |}{col 14}{res}{space 2} .9435872{col 26}{space 2} .2009168{col 37}{space 1}    4.70{col 46}{space 3}0.000{col 54}{space 4} .5497975{col 67}{space 3} 1.337377
{txt}{space 9}FR  {c |}{col 14}{res}{space 2} .8869512{col 26}{space 2} .2263543{col 37}{space 1}    3.92{col 46}{space 3}0.000{col 54}{space 4} .4433049{col 67}{space 3} 1.330598
{txt}{space 9}GB  {c |}{col 14}{res}{space 2} .5384133{col 26}{space 2} .2177827{col 37}{space 1}    2.47{col 46}{space 3}0.013{col 54}{space 4} .1115671{col 67}{space 3} .9652596
{txt}{space 9}IE  {c |}{col 14}{res}{space 2} .5525035{col 26}{space 2} .2322359{col 37}{space 1}    2.38{col 46}{space 3}0.017{col 54}{space 4} .0973295{col 67}{space 3} 1.007678
{txt}{space 9}NL  {c |}{col 14}{res}{space 2} .7602128{col 26}{space 2} .1987074{col 37}{space 1}    3.83{col 46}{space 3}0.000{col 54}{space 4} .3707535{col 67}{space 3} 1.149672
{txt}{space 9}NO  {c |}{col 14}{res}{space 2} 1.150388{col 26}{space 2} .2228693{col 37}{space 1}    5.16{col 46}{space 3}0.000{col 54}{space 4} .7135726{col 67}{space 3} 1.587204
{txt}{space 9}PT  {c |}{col 14}{res}{space 2} 1.618091{col 26}{space 2} .2629597{col 37}{space 1}    6.15{col 46}{space 3}0.000{col 54}{space 4}   1.1027{col 67}{space 3} 2.133483
{txt}{space 9}SE  {c |}{col 14}{res}{space 2} 1.361572{col 26}{space 2}  .233986{col 37}{space 1}    5.82{col 46}{space 3}0.000{col 54}{space 4} .9029674{col 67}{space 3} 1.820176
{txt}{space 12} {c |}
{space 4}iscoco10 {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0186735{col 26}{space 2} .1318736{col 37}{space 1}   -0.14{col 46}{space 3}0.887{col 54}{space 4}-.2771409{col 67}{space 3} .2397939
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.3807851{col 26}{space 2} .1295554{col 37}{space 1}   -2.94{col 46}{space 3}0.003{col 54}{space 4} -.634709{col 67}{space 3}-.1268611
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.1051314{col 26}{space 2} .1894862{col 37}{space 1}   -0.55{col 46}{space 3}0.579{col 54}{space 4}-.4765175{col 67}{space 3} .2662547
{txt}{space 10}5  {c |}{col 14}{res}{space 2}  -.43237{col 26}{space 2} .1711304{col 37}{space 1}   -2.53{col 46}{space 3}0.012{col 54}{space 4}-.7677793{col 67}{space 3}-.0969606
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.8185935{col 26}{space 2} .2449965{col 37}{space 1}   -3.34{col 46}{space 3}0.001{col 54}{space 4}-1.298778{col 67}{space 3}-.3384093
{txt}{space 10}7  {c |}{col 14}{res}{space 2} -.613421{col 26}{space 2} .1460077{col 37}{space 1}   -4.20{col 46}{space 3}0.000{col 54}{space 4}-.8995908{col 67}{space 3}-.3272512
{txt}{space 10}8  {c |}{col 14}{res}{space 2}-.5179941{col 26}{space 2} .1617501{col 37}{space 1}   -3.20{col 46}{space 3}0.001{col 54}{space 4}-.8350185{col 67}{space 3}-.2009697
{txt}{space 10}9  {c |}{col 14}{res}{space 2}-.6223591{col 26}{space 2} .1987417{col 37}{space 1}   -3.13{col 46}{space 3}0.002{col 54}{space 4}-1.011886{col 67}{space 3}-.2328325
{txt}{space 12} {c |}
{space 5}1.rural {c |}{col 14}{res}{space 2} .0423975{col 26}{space 2} .0773678{col 37}{space 1}    0.55{col 46}{space 3}0.584{col 54}{space 4}-.1092407{col 67}{space 3} .1940357
{txt}{space 3}1.married {c |}{col 14}{res}{space 2} .1264881{col 26}{space 2} .0908281{col 37}{space 1}    1.39{col 46}{space 3}0.164{col 54}{space 4}-.0515317{col 67}{space 3} .3045078
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 1.551314{col 26}{space 2} 7.947932{col 37}{space 1}    0.20{col 46}{space 3}0.845{col 54}{space 4}-14.02635{col 67}{space 3} 17.12898
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 15 26}Instrumented:{space 2}rtrd{p_end}
{p 0 15 26}Instruments:{space 3}eduyrs agea agesquared hinctnta ever_child lrscale brncntr 2.country 3.country 5.country 8.country 9.country 10.country 11.country 13.country 16.country 17.country 19.country 20.country 2.iscoco10 3.iscoco10 4.iscoco10 5.iscoco10 6.iscoco10 7.iscoco10 8.iscoco10 9.iscoco10 1.rural 1.married above_early above_full{p_end}

{com}. *w/o FI

. ivregress 2sls imbgeco (rtrd=above_early above_full) eduyrs agea agesquared hinctnta ever_child lrscale brncntr i.country i.iscoco10 i.rural i.married if cntry!="FI", robust 
{res}{txt}note: 9.country identifies no observations in the sample
{res}
{txt}{col 1}Instrumental variables (2SLS) regression{col 51}Number of obs{col 67}= {res}     3,257
{txt}{col 1}{col 51}Wald chi2({res}30{txt}){col 67}= {res}    686.32
{txt}{col 1}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}{col 1}{col 51}R-squared{col 67}= {res}    0.1595
{txt}{col 51}Root MSE{col 67}=    {res} 2.1982

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     imbgeco{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}rtrd {c |}{col 14}{res}{space 2}-.6569812{col 26}{space 2} .6808672{col 37}{space 1}   -0.96{col 46}{space 3}0.335{col 54}{space 4}-1.991456{col 67}{space 3}  .677494
{txt}{space 6}eduyrs {c |}{col 14}{res}{space 2} .0665335{col 26}{space 2} .0122178{col 37}{space 1}    5.45{col 46}{space 3}0.000{col 54}{space 4}  .042587{col 67}{space 3} .0904799
{txt}{space 8}agea {c |}{col 14}{res}{space 2} .1807997{col 26}{space 2} .2970517{col 37}{space 1}    0.61{col 46}{space 3}0.543{col 54}{space 4}-.4014109{col 67}{space 3} .7630103
{txt}{space 2}agesquared {c |}{col 14}{res}{space 2}-.0011309{col 26}{space 2} .0027674{col 37}{space 1}   -0.41{col 46}{space 3}0.683{col 54}{space 4} -.006555{col 67}{space 3} .0042932
{txt}{space 4}hinctnta {c |}{col 14}{res}{space 2} .0719832{col 26}{space 2} .0204302{col 37}{space 1}    3.52{col 46}{space 3}0.000{col 54}{space 4} .0319408{col 67}{space 3} .1120256
{txt}{space 2}ever_child {c |}{col 14}{res}{space 2}-.1036856{col 26}{space 2} .1052354{col 37}{space 1}   -0.99{col 46}{space 3}0.324{col 54}{space 4}-.3099433{col 67}{space 3}  .102572
{txt}{space 5}lrscale {c |}{col 14}{res}{space 2}-.1454341{col 26}{space 2} .0205889{col 37}{space 1}   -7.06{col 46}{space 3}0.000{col 54}{space 4}-.1857876{col 67}{space 3}-.1050806
{txt}{space 5}brncntr {c |}{col 14}{res}{space 2} .6475536{col 26}{space 2} .1580893{col 37}{space 1}    4.10{col 46}{space 3}0.000{col 54}{space 4} .3377042{col 67}{space 3}  .957403
{txt}{space 12} {c |}
{space 5}country {c |}
{space 9}BE  {c |}{col 14}{res}{space 2}-.3841732{col 26}{space 2} .2257084{col 37}{space 1}   -1.70{col 46}{space 3}0.089{col 54}{space 4}-.8265535{col 67}{space 3}  .058207
{txt}{space 9}CH  {c |}{col 14}{res}{space 2}  1.21336{col 26}{space 2} .2273241{col 37}{space 1}    5.34{col 46}{space 3}0.000{col 54}{space 4} .7678135{col 67}{space 3} 1.658907
{txt}{space 9}DE  {c |}{col 14}{res}{space 2} .7517398{col 26}{space 2} .1983604{col 37}{space 1}    3.79{col 46}{space 3}0.000{col 54}{space 4} .3629605{col 67}{space 3} 1.140519
{txt}{space 9}DK  {c |}{col 14}{res}{space 2} .2026285{col 26}{space 2} .2348456{col 37}{space 1}    0.86{col 46}{space 3}0.388{col 54}{space 4}-.2576605{col 67}{space 3} .6629175
{txt}{space 9}ES  {c |}{col 14}{res}{space 2} .7137599{col 26}{space 2} .2495848{col 37}{space 1}    2.86{col 46}{space 3}0.004{col 54}{space 4} .2245827{col 67}{space 3} 1.202937
{txt}{space 9}FI  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 9}FR  {c |}{col 14}{res}{space 2}-.1151171{col 26}{space 2} .2311735{col 37}{space 1}   -0.50{col 46}{space 3}0.619{col 54}{space 4}-.5682089{col 67}{space 3} .3379747
{txt}{space 9}GB  {c |}{col 14}{res}{space 2}-.2223489{col 26}{space 2} .2232765{col 37}{space 1}   -1.00{col 46}{space 3}0.319{col 54}{space 4}-.6599628{col 67}{space 3} .2152649
{txt}{space 9}IE  {c |}{col 14}{res}{space 2} .1108059{col 26}{space 2} .2398727{col 37}{space 1}    0.46{col 46}{space 3}0.644{col 54}{space 4}-.3593359{col 67}{space 3} .5809477
{txt}{space 9}NL  {c |}{col 14}{res}{space 2}-.1477215{col 26}{space 2} .2135077{col 37}{space 1}   -0.69{col 46}{space 3}0.489{col 54}{space 4} -.566189{col 67}{space 3}  .270746
{txt}{space 9}NO  {c |}{col 14}{res}{space 2} .5994863{col 26}{space 2} .2367709{col 37}{space 1}    2.53{col 46}{space 3}0.011{col 54}{space 4} .1354239{col 67}{space 3} 1.063549
{txt}{space 9}PT  {c |}{col 14}{res}{space 2} .6217133{col 26}{space 2} .2884914{col 37}{space 1}    2.16{col 46}{space 3}0.031{col 54}{space 4} .0562804{col 67}{space 3} 1.187146
{txt}{space 9}SE  {c |}{col 14}{res}{space 2} .1597037{col 26}{space 2}  .247255{col 37}{space 1}    0.65{col 46}{space 3}0.518{col 54}{space 4}-.3249072{col 67}{space 3} .6443146
{txt}{space 12} {c |}
{space 4}iscoco10 {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0893111{col 26}{space 2} .1326715{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-.3493424{col 67}{space 3} .1707202
{txt}{space 10}3  {c |}{col 14}{res}{space 2} -.319548{col 26}{space 2} .1340127{col 37}{space 1}   -2.38{col 46}{space 3}0.017{col 54}{space 4}-.5822081{col 67}{space 3}-.0568879
{txt}{space 10}4  {c |}{col 14}{res}{space 2}  -.48136{col 26}{space 2} .1949388{col 37}{space 1}   -2.47{col 46}{space 3}0.014{col 54}{space 4}-.8634331{col 67}{space 3}-.0992869
{txt}{space 10}5  {c |}{col 14}{res}{space 2}-.8629719{col 26}{space 2} .1901991{col 37}{space 1}   -4.54{col 46}{space 3}0.000{col 54}{space 4}-1.235755{col 67}{space 3}-.4901885
{txt}{space 10}6  {c |}{col 14}{res}{space 2} -.953848{col 26}{space 2} .2493563{col 37}{space 1}   -3.83{col 46}{space 3}0.000{col 54}{space 4}-1.442577{col 67}{space 3}-.4651186
{txt}{space 10}7  {c |}{col 14}{res}{space 2}-.9601959{col 26}{space 2} .1518745{col 37}{space 1}   -6.32{col 46}{space 3}0.000{col 54}{space 4}-1.257864{col 67}{space 3}-.6625273
{txt}{space 10}8  {c |}{col 14}{res}{space 2}-1.358061{col 26}{space 2} .1749698{col 37}{space 1}   -7.76{col 46}{space 3}0.000{col 54}{space 4}-1.700995{col 67}{space 3}-1.015126
{txt}{space 10}9  {c |}{col 14}{res}{space 2}-.9405435{col 26}{space 2} .2101706{col 37}{space 1}   -4.48{col 46}{space 3}0.000{col 54}{space 4} -1.35247{col 67}{space 3}-.5286167
{txt}{space 12} {c |}
{space 5}1.rural {c |}{col 14}{res}{space 2}-.1311034{col 26}{space 2} .0836276{col 37}{space 1}   -1.57{col 46}{space 3}0.117{col 54}{space 4}-.2950104{col 67}{space 3} .0328037
{txt}{space 3}1.married {c |}{col 14}{res}{space 2}-.0384283{col 26}{space 2} .0926564{col 37}{space 1}   -0.41{col 46}{space 3}0.678{col 54}{space 4}-.2200316{col 67}{space 3}  .143175
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-1.881161{col 26}{space 2} 8.124519{col 37}{space 1}   -0.23{col 46}{space 3}0.817{col 54}{space 4}-17.80492{col 67}{space 3}  14.0426
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 15 26}Instrumented:{space 2}rtrd{p_end}
{p 0 15 26}Instruments:{space 3}eduyrs agea agesquared hinctnta ever_child lrscale brncntr 2.country 3.country 5.country 6.country 8.country 10.country 11.country 13.country 16.country 17.country 19.country 20.country 2.iscoco10 3.iscoco10 4.iscoco10 5.iscoco10 6.iscoco10 7.iscoco10 8.iscoco10 9.iscoco10 1.rural 1.married above_early above_full{p_end}

{com}. ivregress 2sls imtcjob (rtrd=above_early above_full) eduyrs agea agesquared hinctnta ever_child lrscale brncntr i.country i.iscoco10 i.rural i.married if cntry!="FI", robust 
{res}{txt}note: 9.country identifies no observations in the sample
{res}
{txt}{col 1}Instrumental variables (2SLS) regression{col 51}Number of obs{col 67}= {res}     3,250
{txt}{col 1}{col 51}Wald chi2({res}30{txt}){col 67}= {res}    462.75
{txt}{col 1}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}{col 1}{col 51}R-squared{col 67}= {res}    0.1210
{txt}{col 51}Root MSE{col 67}=    {res}  2.047

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     imtcjob{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}rtrd {c |}{col 14}{res}{space 2}-.6150634{col 26}{space 2} .6679525{col 37}{space 1}   -0.92{col 46}{space 3}0.357{col 54}{space 4}-1.924226{col 67}{space 3} .6940993
{txt}{space 6}eduyrs {c |}{col 14}{res}{space 2} .0469585{col 26}{space 2} .0112362{col 37}{space 1}    4.18{col 46}{space 3}0.000{col 54}{space 4}  .024936{col 67}{space 3}  .068981
{txt}{space 8}agea {c |}{col 14}{res}{space 2}-.0630796{col 26}{space 2} .2889063{col 37}{space 1}   -0.22{col 46}{space 3}0.827{col 54}{space 4}-.6293255{col 67}{space 3} .5031662
{txt}{space 2}agesquared {c |}{col 14}{res}{space 2} .0008135{col 26}{space 2}  .002697{col 37}{space 1}    0.30{col 46}{space 3}0.763{col 54}{space 4}-.0044726{col 67}{space 3} .0060995
{txt}{space 4}hinctnta {c |}{col 14}{res}{space 2}  .033091{col 26}{space 2} .0189402{col 37}{space 1}    1.75{col 46}{space 3}0.081{col 54}{space 4} -.004031{col 67}{space 3}  .070213
{txt}{space 2}ever_child {c |}{col 14}{res}{space 2} .0053285{col 26}{space 2} .1021559{col 37}{space 1}    0.05{col 46}{space 3}0.958{col 54}{space 4}-.1948934{col 67}{space 3} .2055505
{txt}{space 5}lrscale {c |}{col 14}{res}{space 2}-.0412531{col 26}{space 2} .0193732{col 37}{space 1}   -2.13{col 46}{space 3}0.033{col 54}{space 4}-.0792238{col 67}{space 3}-.0032824
{txt}{space 5}brncntr {c |}{col 14}{res}{space 2} .5974721{col 26}{space 2} .1494265{col 37}{space 1}    4.00{col 46}{space 3}0.000{col 54}{space 4} .3046017{col 67}{space 3} .8903426
{txt}{space 12} {c |}
{space 5}country {c |}
{space 9}BE  {c |}{col 14}{res}{space 2} .1227513{col 26}{space 2} .2142218{col 37}{space 1}    0.57{col 46}{space 3}0.567{col 54}{space 4}-.2971158{col 67}{space 3} .5426183
{txt}{space 9}CH  {c |}{col 14}{res}{space 2} .9617753{col 26}{space 2} .2175281{col 37}{space 1}    4.42{col 46}{space 3}0.000{col 54}{space 4} .5354282{col 67}{space 3} 1.388123
{txt}{space 9}DE  {c |}{col 14}{res}{space 2} 1.180489{col 26}{space 2} .1867838{col 37}{space 1}    6.32{col 46}{space 3}0.000{col 54}{space 4} .8143997{col 67}{space 3} 1.546579
{txt}{space 9}DK  {c |}{col 14}{res}{space 2} .9508073{col 26}{space 2} .2121979{col 37}{space 1}    4.48{col 46}{space 3}0.000{col 54}{space 4} .5349072{col 67}{space 3} 1.366708
{txt}{space 9}ES  {c |}{col 14}{res}{space 2} .3467433{col 26}{space 2} .2484039{col 37}{space 1}    1.40{col 46}{space 3}0.163{col 54}{space 4}-.1401194{col 67}{space 3} .8336059
{txt}{space 9}FI  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 9}FR  {c |}{col 14}{res}{space 2} .6761378{col 26}{space 2} .2267552{col 37}{space 1}    2.98{col 46}{space 3}0.003{col 54}{space 4} .2317057{col 67}{space 3}  1.12057
{txt}{space 9}GB  {c |}{col 14}{res}{space 2} .2575721{col 26}{space 2} .2152114{col 37}{space 1}    1.20{col 46}{space 3}0.231{col 54}{space 4}-.1642345{col 67}{space 3} .6793786
{txt}{space 9}IE  {c |}{col 14}{res}{space 2} .0461122{col 26}{space 2} .2254842{col 37}{space 1}    0.20{col 46}{space 3}0.838{col 54}{space 4}-.3958286{col 67}{space 3} .4880531
{txt}{space 9}NL  {c |}{col 14}{res}{space 2} .3647391{col 26}{space 2} .1987206{col 37}{space 1}    1.84{col 46}{space 3}0.066{col 54}{space 4}-.0247462{col 67}{space 3} .7542244
{txt}{space 9}NO  {c |}{col 14}{res}{space 2} 1.487283{col 26}{space 2} .2215297{col 37}{space 1}    6.71{col 46}{space 3}0.000{col 54}{space 4} 1.053093{col 67}{space 3} 1.921473
{txt}{space 9}PT  {c |}{col 14}{res}{space 2} .9820773{col 26}{space 2} .2749792{col 37}{space 1}    3.57{col 46}{space 3}0.000{col 54}{space 4}  .443128{col 67}{space 3} 1.521027
{txt}{space 9}SE  {c |}{col 14}{res}{space 2} 1.595751{col 26}{space 2} .2265031{col 37}{space 1}    7.05{col 46}{space 3}0.000{col 54}{space 4} 1.151813{col 67}{space 3} 2.039688
{txt}{space 12} {c |}
{space 4}iscoco10 {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0323413{col 26}{space 2} .1185098{col 37}{space 1}   -0.27{col 46}{space 3}0.785{col 54}{space 4}-.2646163{col 67}{space 3} .1999337
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.2035078{col 26}{space 2} .1222329{col 37}{space 1}   -1.66{col 46}{space 3}0.096{col 54}{space 4}-.4430799{col 67}{space 3} .0360643
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.1267553{col 26}{space 2} .1693914{col 37}{space 1}   -0.75{col 46}{space 3}0.454{col 54}{space 4}-.4587564{col 67}{space 3} .2052458
{txt}{space 10}5  {c |}{col 14}{res}{space 2}-.5563063{col 26}{space 2} .1688679{col 37}{space 1}   -3.29{col 46}{space 3}0.001{col 54}{space 4}-.8872814{col 67}{space 3}-.2253313
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.7670604{col 26}{space 2} .2582433{col 37}{space 1}   -2.97{col 46}{space 3}0.003{col 54}{space 4}-1.273208{col 67}{space 3}-.2609128
{txt}{space 10}7  {c |}{col 14}{res}{space 2} -.620416{col 26}{space 2} .1420813{col 37}{space 1}   -4.37{col 46}{space 3}0.000{col 54}{space 4}-.8988903{col 67}{space 3}-.3419418
{txt}{space 10}8  {c |}{col 14}{res}{space 2}-.7350583{col 26}{space 2} .1618392{col 37}{space 1}   -4.54{col 46}{space 3}0.000{col 54}{space 4}-1.052257{col 67}{space 3}-.4178594
{txt}{space 10}9  {c |}{col 14}{res}{space 2}-.7500867{col 26}{space 2} .1953173{col 37}{space 1}   -3.84{col 46}{space 3}0.000{col 54}{space 4}-1.132902{col 67}{space 3}-.3672719
{txt}{space 12} {c |}
{space 5}1.rural {c |}{col 14}{res}{space 2}-.0678618{col 26}{space 2} .0792376{col 37}{space 1}   -0.86{col 46}{space 3}0.392{col 54}{space 4}-.2231648{col 67}{space 3} .0874411
{txt}{space 3}1.married {c |}{col 14}{res}{space 2}-.0360888{col 26}{space 2} .0879133{col 37}{space 1}   -0.41{col 46}{space 3}0.681{col 54}{space 4}-.2083958{col 67}{space 3} .1362182
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 4.698276{col 26}{space 2} 7.878617{col 37}{space 1}    0.60{col 46}{space 3}0.551{col 54}{space 4}-10.74353{col 67}{space 3} 20.14008
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 15 26}Instrumented:{space 2}rtrd{p_end}
{p 0 15 26}Instruments:{space 3}eduyrs agea agesquared hinctnta ever_child lrscale brncntr 2.country 3.country 5.country 6.country 8.country 10.country 11.country 13.country 16.country 17.country 19.country 20.country 2.iscoco10 3.iscoco10 4.iscoco10 5.iscoco10 6.iscoco10 7.iscoco10 8.iscoco10 9.iscoco10 1.rural 1.married above_early above_full{p_end}

{com}. ivregress 2sls imbleco (rtrd=above_early above_full) eduyrs agea agesquared hinctnta ever_child lrscale brncntr i.country i.iscoco10 i.rural i.married if cntry!="FI", robust 
{res}{txt}note: 9.country identifies no observations in the sample
{res}
{txt}{col 1}Instrumental variables (2SLS) regression{col 51}Number of obs{col 67}= {res}     3,242
{txt}{col 1}{col 51}Wald chi2({res}30{txt}){col 67}= {res}    403.69
{txt}{col 1}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}{col 1}{col 51}R-squared{col 67}= {res}    0.1063
{txt}{col 51}Root MSE{col 67}=    {res} 2.0977

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     imbleco{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}rtrd {c |}{col 14}{res}{space 2}-.3952707{col 26}{space 2} .6766429{col 37}{space 1}   -0.58{col 46}{space 3}0.559{col 54}{space 4}-1.721466{col 67}{space 3}  .930925
{txt}{space 6}eduyrs {c |}{col 14}{res}{space 2} .0468849{col 26}{space 2} .0115626{col 37}{space 1}    4.05{col 46}{space 3}0.000{col 54}{space 4} .0242227{col 67}{space 3} .0695471
{txt}{space 8}agea {c |}{col 14}{res}{space 2} .0963868{col 26}{space 2} .2928166{col 37}{space 1}    0.33{col 46}{space 3}0.742{col 54}{space 4}-.4775232{col 67}{space 3} .6702969
{txt}{space 2}agesquared {c |}{col 14}{res}{space 2}-.0006172{col 26}{space 2} .0027323{col 37}{space 1}   -0.23{col 46}{space 3}0.821{col 54}{space 4}-.0059723{col 67}{space 3}  .004738
{txt}{space 4}hinctnta {c |}{col 14}{res}{space 2} .0312107{col 26}{space 2} .0193694{col 37}{space 1}    1.61{col 46}{space 3}0.107{col 54}{space 4}-.0067527{col 67}{space 3} .0691741
{txt}{space 2}ever_child {c |}{col 14}{res}{space 2}-.2284156{col 26}{space 2} .1037396{col 37}{space 1}   -2.20{col 46}{space 3}0.028{col 54}{space 4}-.4317414{col 67}{space 3}-.0250897
{txt}{space 5}lrscale {c |}{col 14}{res}{space 2} -.156798{col 26}{space 2} .0196005{col 37}{space 1}   -8.00{col 46}{space 3}0.000{col 54}{space 4}-.1952143{col 67}{space 3}-.1183817
{txt}{space 5}brncntr {c |}{col 14}{res}{space 2}  .767171{col 26}{space 2}  .150661{col 37}{space 1}    5.09{col 46}{space 3}0.000{col 54}{space 4} .4718808{col 67}{space 3} 1.062461
{txt}{space 12} {c |}
{space 5}country {c |}
{space 9}BE  {c |}{col 14}{res}{space 2} .5176831{col 26}{space 2}  .215752{col 37}{space 1}    2.40{col 46}{space 3}0.016{col 54}{space 4} .0948169{col 67}{space 3} .9405493
{txt}{space 9}CH  {c |}{col 14}{res}{space 2} .6458198{col 26}{space 2} .2272899{col 37}{space 1}    2.84{col 46}{space 3}0.004{col 54}{space 4} .2003397{col 67}{space 3}   1.0913
{txt}{space 9}DE  {c |}{col 14}{res}{space 2} 1.135137{col 26}{space 2} .1872914{col 37}{space 1}    6.06{col 46}{space 3}0.000{col 54}{space 4} .7680528{col 67}{space 3} 1.502222
{txt}{space 9}DK  {c |}{col 14}{res}{space 2} 1.113321{col 26}{space 2} .2184476{col 37}{space 1}    5.10{col 46}{space 3}0.000{col 54}{space 4} .6851717{col 67}{space 3}  1.54147
{txt}{space 9}ES  {c |}{col 14}{res}{space 2} .2693161{col 26}{space 2} .2313199{col 37}{space 1}    1.16{col 46}{space 3}0.244{col 54}{space 4}-.1840626{col 67}{space 3} .7226947
{txt}{space 9}FI  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 9}FR  {c |}{col 14}{res}{space 2} .8752196{col 26}{space 2} .2269154{col 37}{space 1}    3.86{col 46}{space 3}0.000{col 54}{space 4} .4304735{col 67}{space 3} 1.319966
{txt}{space 9}GB  {c |}{col 14}{res}{space 2} .5548615{col 26}{space 2} .2179007{col 37}{space 1}    2.55{col 46}{space 3}0.011{col 54}{space 4} .1277841{col 67}{space 3}  .981939
{txt}{space 9}IE  {c |}{col 14}{res}{space 2} .5513158{col 26}{space 2} .2326414{col 37}{space 1}    2.37{col 46}{space 3}0.018{col 54}{space 4} .0953471{col 67}{space 3} 1.007285
{txt}{space 9}NL  {c |}{col 14}{res}{space 2} .7611645{col 26}{space 2} .1993311{col 37}{space 1}    3.82{col 46}{space 3}0.000{col 54}{space 4} .3704828{col 67}{space 3} 1.151846
{txt}{space 9}NO  {c |}{col 14}{res}{space 2} 1.157617{col 26}{space 2} .2243855{col 37}{space 1}    5.16{col 46}{space 3}0.000{col 54}{space 4} .7178299{col 67}{space 3} 1.597405
{txt}{space 9}PT  {c |}{col 14}{res}{space 2} 1.628036{col 26}{space 2} .2637695{col 37}{space 1}    6.17{col 46}{space 3}0.000{col 54}{space 4} 1.111057{col 67}{space 3} 2.145015
{txt}{space 9}SE  {c |}{col 14}{res}{space 2} 1.373814{col 26}{space 2} .2360191{col 37}{space 1}    5.82{col 46}{space 3}0.000{col 54}{space 4} .9112253{col 67}{space 3} 1.836403
{txt}{space 12} {c |}
{space 4}iscoco10 {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .0022872{col 26}{space 2}  .132614{col 37}{space 1}    0.02{col 46}{space 3}0.986{col 54}{space 4}-.2576315{col 67}{space 3} .2622058
{txt}{space 10}3  {c |}{col 14}{res}{space 2} -.356411{col 26}{space 2} .1292697{col 37}{space 1}   -2.76{col 46}{space 3}0.006{col 54}{space 4} -.609775{col 67}{space 3}-.1030471
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.1849742{col 26}{space 2} .1858177{col 37}{space 1}   -1.00{col 46}{space 3}0.320{col 54}{space 4}-.5491702{col 67}{space 3} .1792218
{txt}{space 10}5  {c |}{col 14}{res}{space 2}-.4642123{col 26}{space 2} .1751822{col 37}{space 1}   -2.65{col 46}{space 3}0.008{col 54}{space 4}-.8075631{col 67}{space 3}-.1208615
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.7316153{col 26}{space 2} .2590867{col 37}{space 1}   -2.82{col 46}{space 3}0.005{col 54}{space 4}-1.239416{col 67}{space 3}-.2238146
{txt}{space 10}7  {c |}{col 14}{res}{space 2}-.6082924{col 26}{space 2} .1462939{col 37}{space 1}   -4.16{col 46}{space 3}0.000{col 54}{space 4}-.8950232{col 67}{space 3}-.3215615
{txt}{space 10}8  {c |}{col 14}{res}{space 2}-.6822078{col 26}{space 2} .1654384{col 37}{space 1}   -4.12{col 46}{space 3}0.000{col 54}{space 4}-1.006461{col 67}{space 3}-.3579545
{txt}{space 10}9  {c |}{col 14}{res}{space 2}-.5862276{col 26}{space 2} .1958168{col 37}{space 1}   -2.99{col 46}{space 3}0.003{col 54}{space 4}-.9700215{col 67}{space 3}-.2024337
{txt}{space 12} {c |}
{space 5}1.rural {c |}{col 14}{res}{space 2} .0443572{col 26}{space 2} .0797902{col 37}{space 1}    0.56{col 46}{space 3}0.578{col 54}{space 4}-.1120288{col 67}{space 3} .2007431
{txt}{space 3}1.married {c |}{col 14}{res}{space 2} .0920546{col 26}{space 2} .0916594{col 37}{space 1}    1.00{col 46}{space 3}0.315{col 54}{space 4}-.0875945{col 67}{space 3} .2717038
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0548784{col 26}{space 2} 7.998634{col 37}{space 1}    0.01{col 46}{space 3}0.995{col 54}{space 4}-15.62216{col 67}{space 3} 15.73191
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 15 26}Instrumented:{space 2}rtrd{p_end}
{p 0 15 26}Instruments:{space 3}eduyrs agea agesquared hinctnta ever_child lrscale brncntr 2.country 3.country 5.country 6.country 8.country 10.country 11.country 13.country 16.country 17.country 19.country 20.country 2.iscoco10 3.iscoco10 4.iscoco10 5.iscoco10 6.iscoco10 7.iscoco10 8.iscoco10 9.iscoco10 1.rural 1.married above_early above_full{p_end}

{com}. *w/o FR

. ivregress 2sls imbgeco (rtrd=above_early above_full) eduyrs agea agesquared hinctnta ever_child lrscale brncntr i.country i.iscoco10 i.rural i.married if cntry!="FR", robust 
{res}{txt}note: 10.country identifies no observations in the sample
{res}
{txt}{col 1}Instrumental variables (2SLS) regression{col 51}Number of obs{col 67}= {res}     3,343
{txt}{col 1}{col 51}Wald chi2({res}30{txt}){col 67}= {res}    682.30
{txt}{col 1}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}{col 1}{col 51}R-squared{col 67}= {res}    0.1589
{txt}{col 51}Root MSE{col 67}=    {res}  2.182

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     imbgeco{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}rtrd {c |}{col 14}{res}{space 2} .0922747{col 26}{space 2} .8427845{col 37}{space 1}    0.11{col 46}{space 3}0.913{col 54}{space 4}-1.559553{col 67}{space 3} 1.744102
{txt}{space 6}eduyrs {c |}{col 14}{res}{space 2} .0729665{col 26}{space 2} .0120093{col 37}{space 1}    6.08{col 46}{space 3}0.000{col 54}{space 4} .0494286{col 67}{space 3} .0965043
{txt}{space 8}agea {c |}{col 14}{res}{space 2}  .437193{col 26}{space 2} .3721508{col 37}{space 1}    1.17{col 46}{space 3}0.240{col 54}{space 4}-.2922092{col 67}{space 3} 1.166595
{txt}{space 2}agesquared {c |}{col 14}{res}{space 2}-.0036235{col 26}{space 2} .0034809{col 37}{space 1}   -1.04{col 46}{space 3}0.298{col 54}{space 4} -.010446{col 67}{space 3}  .003199
{txt}{space 4}hinctnta {c |}{col 14}{res}{space 2} .0745208{col 26}{space 2} .0216467{col 37}{space 1}    3.44{col 46}{space 3}0.001{col 54}{space 4}  .032094{col 67}{space 3} .1169476
{txt}{space 2}ever_child {c |}{col 14}{res}{space 2}-.0326072{col 26}{space 2} .1021932{col 37}{space 1}   -0.32{col 46}{space 3}0.750{col 54}{space 4}-.2329021{col 67}{space 3} .1676877
{txt}{space 5}lrscale {c |}{col 14}{res}{space 2}-.1186428{col 26}{space 2} .0208735{col 37}{space 1}   -5.68{col 46}{space 3}0.000{col 54}{space 4} -.159554{col 67}{space 3}-.0777315
{txt}{space 5}brncntr {c |}{col 14}{res}{space 2} .6355564{col 26}{space 2} .1673384{col 37}{space 1}    3.80{col 46}{space 3}0.000{col 54}{space 4} .3075791{col 67}{space 3} .9635336
{txt}{space 12} {c |}
{space 5}country {c |}
{space 9}BE  {c |}{col 14}{res}{space 2}-.4669036{col 26}{space 2} .2292486{col 37}{space 1}   -2.04{col 46}{space 3}0.042{col 54}{space 4}-.9162225{col 67}{space 3}-.0175846
{txt}{space 9}CH  {c |}{col 14}{res}{space 2} 1.254999{col 26}{space 2} .2336162{col 37}{space 1}    5.37{col 46}{space 3}0.000{col 54}{space 4} .7971194{col 67}{space 3} 1.712878
{txt}{space 9}DE  {c |}{col 14}{res}{space 2} .7562002{col 26}{space 2} .2008797{col 37}{space 1}    3.76{col 46}{space 3}0.000{col 54}{space 4} .3624833{col 67}{space 3} 1.149917
{txt}{space 9}DK  {c |}{col 14}{res}{space 2} .1995593{col 26}{space 2} .2381439{col 37}{space 1}    0.84{col 46}{space 3}0.402{col 54}{space 4}-.2671941{col 67}{space 3} .6663126
{txt}{space 9}ES  {c |}{col 14}{res}{space 2} .7678483{col 26}{space 2} .2542957{col 37}{space 1}    3.02{col 46}{space 3}0.003{col 54}{space 4} .2694378{col 67}{space 3} 1.266259
{txt}{space 9}FI  {c |}{col 14}{res}{space 2} .5304614{col 26}{space 2} .2121774{col 37}{space 1}    2.50{col 46}{space 3}0.012{col 54}{space 4} .1146013{col 67}{space 3} .9463216
{txt}{space 9}FR  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 9}GB  {c |}{col 14}{res}{space 2}-.2183536{col 26}{space 2} .2257076{col 37}{space 1}   -0.97{col 46}{space 3}0.333{col 54}{space 4}-.6607323{col 67}{space 3} .2240251
{txt}{space 9}IE  {c |}{col 14}{res}{space 2} .1530949{col 26}{space 2} .2441265{col 37}{space 1}    0.63{col 46}{space 3}0.531{col 54}{space 4}-.3253842{col 67}{space 3}  .631574
{txt}{space 9}NL  {c |}{col 14}{res}{space 2}-.1305882{col 26}{space 2} .2175556{col 37}{space 1}   -0.60{col 46}{space 3}0.548{col 54}{space 4}-.5569893{col 67}{space 3}  .295813
{txt}{space 9}NO  {c |}{col 14}{res}{space 2} .6637646{col 26}{space 2} .2502171{col 37}{space 1}    2.65{col 46}{space 3}0.008{col 54}{space 4} .1733481{col 67}{space 3} 1.154181
{txt}{space 9}PT  {c |}{col 14}{res}{space 2} .6181365{col 26}{space 2} .2890845{col 37}{space 1}    2.14{col 46}{space 3}0.032{col 54}{space 4} .0515413{col 67}{space 3} 1.184732
{txt}{space 9}SE  {c |}{col 14}{res}{space 2} .2366737{col 26}{space 2} .2571173{col 37}{space 1}    0.92{col 46}{space 3}0.357{col 54}{space 4} -.267267{col 67}{space 3} .7406143
{txt}{space 12} {c |}
{space 4}iscoco10 {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0450502{col 26}{space 2} .1298278{col 37}{space 1}   -0.35{col 46}{space 3}0.729{col 54}{space 4} -.299508{col 67}{space 3} .2094076
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.1942382{col 26}{space 2}  .133422{col 37}{space 1}   -1.46{col 46}{space 3}0.145{col 54}{space 4}-.4557404{col 67}{space 3}  .067264
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.3775249{col 26}{space 2} .1949413{col 37}{space 1}   -1.94{col 46}{space 3}0.053{col 54}{space 4}-.7596029{col 67}{space 3}  .004553
{txt}{space 10}5  {c |}{col 14}{res}{space 2} -.861249{col 26}{space 2} .1849713{col 37}{space 1}   -4.66{col 46}{space 3}0.000{col 54}{space 4}-1.223786{col 67}{space 3}-.4987119
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.8531897{col 26}{space 2} .2419971{col 37}{space 1}   -3.53{col 46}{space 3}0.000{col 54}{space 4}-1.327495{col 67}{space 3}-.3788841
{txt}{space 10}7  {c |}{col 14}{res}{space 2} -.994239{col 26}{space 2} .1481264{col 37}{space 1}   -6.71{col 46}{space 3}0.000{col 54}{space 4}-1.284562{col 67}{space 3}-.7039165
{txt}{space 10}8  {c |}{col 14}{res}{space 2}-1.273859{col 26}{space 2}  .171471{col 37}{space 1}   -7.43{col 46}{space 3}0.000{col 54}{space 4}-1.609936{col 67}{space 3}-.9377823
{txt}{space 10}9  {c |}{col 14}{res}{space 2}-.9898798{col 26}{space 2} .2169168{col 37}{space 1}   -4.56{col 46}{space 3}0.000{col 54}{space 4}-1.415029{col 67}{space 3}-.5647307
{txt}{space 12} {c |}
{space 5}1.rural {c |}{col 14}{res}{space 2}  -.12884{col 26}{space 2} .0815978{col 37}{space 1}   -1.58{col 46}{space 3}0.114{col 54}{space 4}-.2887688{col 67}{space 3} .0310888
{txt}{space 3}1.married {c |}{col 14}{res}{space 2}-.0900693{col 26}{space 2} .0939833{col 37}{space 1}   -0.96{col 46}{space 3}0.338{col 54}{space 4}-.2742732{col 67}{space 3} .0941345
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-8.760912{col 26}{space 2} 10.12093{col 37}{space 1}   -0.87{col 46}{space 3}0.387{col 54}{space 4}-28.59756{col 67}{space 3} 11.07574
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 15 26}Instrumented:{space 2}rtrd{p_end}
{p 0 15 26}Instruments:{space 3}eduyrs agea agesquared hinctnta ever_child lrscale brncntr 2.country 3.country 5.country 6.country 8.country 9.country 11.country 13.country 16.country 17.country 19.country 20.country 2.iscoco10 3.iscoco10 4.iscoco10 5.iscoco10 6.iscoco10 7.iscoco10 8.iscoco10 9.iscoco10 1.rural 1.married above_early above_full{p_end}

{com}. ivregress 2sls imtcjob (rtrd=above_early above_full) eduyrs agea agesquared hinctnta ever_child lrscale brncntr i.country i.iscoco10 i.rural i.married if cntry!="FR", robust 
{res}{txt}note: 10.country identifies no observations in the sample
{res}
{txt}{col 1}Instrumental variables (2SLS) regression{col 51}Number of obs{col 67}= {res}     3,333
{txt}{col 1}{col 51}Wald chi2({res}30{txt}){col 67}= {res}    489.22
{txt}{col 1}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}{col 1}{col 51}R-squared{col 67}= {res}    0.1326
{txt}{col 51}Root MSE{col 67}=    {res} 2.0187

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     imtcjob{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}rtrd {c |}{col 14}{res}{space 2}  .304484{col 26}{space 2} .8397723{col 37}{space 1}    0.36{col 46}{space 3}0.717{col 54}{space 4}-1.341439{col 67}{space 3} 1.950407
{txt}{space 6}eduyrs {c |}{col 14}{res}{space 2} .0495619{col 26}{space 2} .0107695{col 37}{space 1}    4.60{col 46}{space 3}0.000{col 54}{space 4}  .028454{col 67}{space 3} .0706698
{txt}{space 8}agea {c |}{col 14}{res}{space 2} .2873095{col 26}{space 2} .3636419{col 37}{space 1}    0.79{col 46}{space 3}0.429{col 54}{space 4}-.4254155{col 67}{space 3} 1.000035
{txt}{space 2}agesquared {c |}{col 14}{res}{space 2}-.0025109{col 26}{space 2} .0034104{col 37}{space 1}   -0.74{col 46}{space 3}0.462{col 54}{space 4}-.0091953{col 67}{space 3} .0041734
{txt}{space 4}hinctnta {c |}{col 14}{res}{space 2}  .044589{col 26}{space 2} .0206707{col 37}{space 1}    2.16{col 46}{space 3}0.031{col 54}{space 4} .0040752{col 67}{space 3} .0851028
{txt}{space 2}ever_child {c |}{col 14}{res}{space 2} .0393377{col 26}{space 2} .0971485{col 37}{space 1}    0.40{col 46}{space 3}0.686{col 54}{space 4}-.1510698{col 67}{space 3} .2297452
{txt}{space 5}lrscale {c |}{col 14}{res}{space 2}-.0419238{col 26}{space 2} .0191766{col 37}{space 1}   -2.19{col 46}{space 3}0.029{col 54}{space 4}-.0795093{col 67}{space 3}-.0043382
{txt}{space 5}brncntr {c |}{col 14}{res}{space 2} .5971891{col 26}{space 2} .1547887{col 37}{space 1}    3.86{col 46}{space 3}0.000{col 54}{space 4} .2938088{col 67}{space 3} .9005694
{txt}{space 12} {c |}
{space 5}country {c |}
{space 9}BE  {c |}{col 14}{res}{space 2} .0581902{col 26}{space 2} .2172293{col 37}{space 1}    0.27{col 46}{space 3}0.789{col 54}{space 4}-.3675713{col 67}{space 3} .4839518
{txt}{space 9}CH  {c |}{col 14}{res}{space 2} 1.034426{col 26}{space 2} .2213724{col 37}{space 1}    4.67{col 46}{space 3}0.000{col 54}{space 4} .6005438{col 67}{space 3} 1.468308
{txt}{space 9}DE  {c |}{col 14}{res}{space 2} 1.182541{col 26}{space 2} .1869034{col 37}{space 1}    6.33{col 46}{space 3}0.000{col 54}{space 4} .8162172{col 67}{space 3} 1.548865
{txt}{space 9}DK  {c |}{col 14}{res}{space 2} .9672348{col 26}{space 2} .2124745{col 37}{space 1}    4.55{col 46}{space 3}0.000{col 54}{space 4} .5507926{col 67}{space 3} 1.383677
{txt}{space 9}ES  {c |}{col 14}{res}{space 2} .4106237{col 26}{space 2} .2517896{col 37}{space 1}    1.63{col 46}{space 3}0.103{col 54}{space 4}-.0828749{col 67}{space 3} .9041223
{txt}{space 9}FI  {c |}{col 14}{res}{space 2} 1.141487{col 26}{space 2} .1959191{col 37}{space 1}    5.83{col 46}{space 3}0.000{col 54}{space 4} .7574924{col 67}{space 3} 1.525481
{txt}{space 9}FR  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 9}GB  {c |}{col 14}{res}{space 2} .2647146{col 26}{space 2} .2147065{col 37}{space 1}    1.23{col 46}{space 3}0.218{col 54}{space 4}-.1561023{col 67}{space 3} .6855315
{txt}{space 9}IE  {c |}{col 14}{res}{space 2}  .104451{col 26}{space 2} .2268117{col 37}{space 1}    0.46{col 46}{space 3}0.645{col 54}{space 4}-.3400918{col 67}{space 3} .5489938
{txt}{space 9}NL  {c |}{col 14}{res}{space 2} .3987159{col 26}{space 2} .2000975{col 37}{space 1}    1.99{col 46}{space 3}0.046{col 54}{space 4} .0065319{col 67}{space 3} .7908999
{txt}{space 9}NO  {c |}{col 14}{res}{space 2} 1.604834{col 26}{space 2} .2328932{col 37}{space 1}    6.89{col 46}{space 3}0.000{col 54}{space 4} 1.148371{col 67}{space 3} 2.061296
{txt}{space 9}PT  {c |}{col 14}{res}{space 2}  .952827{col 26}{space 2} .2734196{col 37}{space 1}    3.48{col 46}{space 3}0.000{col 54}{space 4} .4169344{col 67}{space 3}  1.48872
{txt}{space 9}SE  {c |}{col 14}{res}{space 2} 1.709836{col 26}{space 2} .2343843{col 37}{space 1}    7.30{col 46}{space 3}0.000{col 54}{space 4} 1.250452{col 67}{space 3} 2.169221
{txt}{space 12} {c |}
{space 4}iscoco10 {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.1111322{col 26}{space 2} .1155268{col 37}{space 1}   -0.96{col 46}{space 3}0.336{col 54}{space 4}-.3375607{col 67}{space 3} .1152962
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.2140732{col 26}{space 2} .1215508{col 37}{space 1}   -1.76{col 46}{space 3}0.078{col 54}{space 4}-.4523083{col 67}{space 3}  .024162
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.1295412{col 26}{space 2} .1670665{col 37}{space 1}   -0.78{col 46}{space 3}0.438{col 54}{space 4}-.4569854{col 67}{space 3}  .197903
{txt}{space 10}5  {c |}{col 14}{res}{space 2}-.6620147{col 26}{space 2} .1630936{col 37}{space 1}   -4.06{col 46}{space 3}0.000{col 54}{space 4}-.9816723{col 67}{space 3}-.3423571
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.5732509{col 26}{space 2} .2499488{col 37}{space 1}   -2.29{col 46}{space 3}0.022{col 54}{space 4}-1.063141{col 67}{space 3}-.0833603
{txt}{space 10}7  {c |}{col 14}{res}{space 2}-.7441249{col 26}{space 2} .1366432{col 37}{space 1}   -5.45{col 46}{space 3}0.000{col 54}{space 4}-1.011941{col 67}{space 3}-.4763092
{txt}{space 10}8  {c |}{col 14}{res}{space 2}-.8038629{col 26}{space 2} .1574532{col 37}{space 1}   -5.11{col 46}{space 3}0.000{col 54}{space 4}-1.112466{col 67}{space 3}-.4952603
{txt}{space 10}9  {c |}{col 14}{res}{space 2}-.7294757{col 26}{space 2}  .203145{col 37}{space 1}   -3.59{col 46}{space 3}0.000{col 54}{space 4}-1.127633{col 67}{space 3}-.3313187
{txt}{space 12} {c |}
{space 5}1.rural {c |}{col 14}{res}{space 2} -.153579{col 26}{space 2}  .077351{col 37}{space 1}   -1.99{col 46}{space 3}0.047{col 54}{space 4}-.3051842{col 67}{space 3}-.0019737
{txt}{space 3}1.married {c |}{col 14}{res}{space 2}-.0265563{col 26}{space 2} .0886269{col 37}{space 1}   -0.30{col 46}{space 3}0.764{col 54}{space 4}-.2002619{col 67}{space 3} .1471493
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-4.636465{col 26}{space 2} 9.858141{col 37}{space 1}   -0.47{col 46}{space 3}0.638{col 54}{space 4}-23.95807{col 67}{space 3} 14.68514
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 15 26}Instrumented:{space 2}rtrd{p_end}
{p 0 15 26}Instruments:{space 3}eduyrs agea agesquared hinctnta ever_child lrscale brncntr 2.country 3.country 5.country 6.country 8.country 9.country 11.country 13.country 16.country 17.country 19.country 20.country 2.iscoco10 3.iscoco10 4.iscoco10 5.iscoco10 6.iscoco10 7.iscoco10 8.iscoco10 9.iscoco10 1.rural 1.married above_early above_full{p_end}

{com}. ivregress 2sls imbleco (rtrd=above_early above_full) eduyrs agea agesquared hinctnta ever_child lrscale brncntr i.country i.iscoco10 i.rural i.married if cntry!="FR", robust 
{res}{txt}note: 10.country identifies no observations in the sample
{res}
{txt}{col 1}Instrumental variables (2SLS) regression{col 51}Number of obs{col 67}= {res}     3,324
{txt}{col 1}{col 51}Wald chi2({res}30{txt}){col 67}= {res}    363.09
{txt}{col 1}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}{col 1}{col 51}R-squared{col 67}= {res}    0.0973
{txt}{col 51}Root MSE{col 67}=    {res}  2.089

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     imbleco{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}rtrd {c |}{col 14}{res}{space 2} .1050046{col 26}{space 2} .8351632{col 37}{space 1}    0.13{col 46}{space 3}0.900{col 54}{space 4}-1.531885{col 67}{space 3} 1.741894
{txt}{space 6}eduyrs {c |}{col 14}{res}{space 2} .0413893{col 26}{space 2} .0112626{col 37}{space 1}    3.67{col 46}{space 3}0.000{col 54}{space 4}  .019315{col 67}{space 3} .0634636
{txt}{space 8}agea {c |}{col 14}{res}{space 2} .2236051{col 26}{space 2} .3639451{col 37}{space 1}    0.61{col 46}{space 3}0.539{col 54}{space 4}-.4897141{col 67}{space 3} .9369243
{txt}{space 2}agesquared {c |}{col 14}{res}{space 2}-.0018757{col 26}{space 2}  .003409{col 37}{space 1}   -0.55{col 46}{space 3}0.582{col 54}{space 4}-.0085572{col 67}{space 3} .0048058
{txt}{space 4}hinctnta {c |}{col 14}{res}{space 2} .0450805{col 26}{space 2} .0208516{col 37}{space 1}    2.16{col 46}{space 3}0.031{col 54}{space 4}  .004212{col 67}{space 3} .0859489
{txt}{space 2}ever_child {c |}{col 14}{res}{space 2}-.2056032{col 26}{space 2} .1012419{col 37}{space 1}   -2.03{col 46}{space 3}0.042{col 54}{space 4}-.4040337{col 67}{space 3}-.0071728
{txt}{space 5}lrscale {c |}{col 14}{res}{space 2} -.139302{col 26}{space 2} .0197758{col 37}{space 1}   -7.04{col 46}{space 3}0.000{col 54}{space 4}-.1780619{col 67}{space 3}-.1005421
{txt}{space 5}brncntr {c |}{col 14}{res}{space 2} .6759864{col 26}{space 2} .1572837{col 37}{space 1}    4.30{col 46}{space 3}0.000{col 54}{space 4} .3677159{col 67}{space 3} .9842568
{txt}{space 12} {c |}
{space 5}country {c |}
{space 9}BE  {c |}{col 14}{res}{space 2} .4727179{col 26}{space 2} .2194142{col 37}{space 1}    2.15{col 46}{space 3}0.031{col 54}{space 4} .0426741{col 67}{space 3} .9027618
{txt}{space 9}CH  {c |}{col 14}{res}{space 2} .6671927{col 26}{space 2} .2329297{col 37}{space 1}    2.86{col 46}{space 3}0.004{col 54}{space 4}  .210659{col 67}{space 3} 1.123726
{txt}{space 9}DE  {c |}{col 14}{res}{space 2}  1.15667{col 26}{space 2}   .18967{col 37}{space 1}    6.10{col 46}{space 3}0.000{col 54}{space 4} .7849235{col 67}{space 3} 1.528416
{txt}{space 9}DK  {c |}{col 14}{res}{space 2} 1.109144{col 26}{space 2} .2208196{col 37}{space 1}    5.02{col 46}{space 3}0.000{col 54}{space 4}  .676345{col 67}{space 3} 1.541942
{txt}{space 9}ES  {c |}{col 14}{res}{space 2} .3085898{col 26}{space 2} .2362315{col 37}{space 1}    1.31{col 46}{space 3}0.191{col 54}{space 4}-.1544154{col 67}{space 3} .7715951
{txt}{space 9}FI  {c |}{col 14}{res}{space 2} .9003521{col 26}{space 2} .2033987{col 37}{space 1}    4.43{col 46}{space 3}0.000{col 54}{space 4}  .501698{col 67}{space 3} 1.299006
{txt}{space 9}FR  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 9}GB  {c |}{col 14}{res}{space 2} .5523385{col 26}{space 2} .2201175{col 37}{space 1}    2.51{col 46}{space 3}0.012{col 54}{space 4} .1209162{col 67}{space 3} .9837608
{txt}{space 9}IE  {c |}{col 14}{res}{space 2} .5825864{col 26}{space 2} .2353188{col 37}{space 1}    2.48{col 46}{space 3}0.013{col 54}{space 4}   .12137{col 67}{space 3} 1.043803
{txt}{space 9}NL  {c |}{col 14}{res}{space 2} .7810127{col 26}{space 2} .2029739{col 37}{space 1}    3.85{col 46}{space 3}0.000{col 54}{space 4} .3831911{col 67}{space 3} 1.178834
{txt}{space 9}NO  {c |}{col 14}{res}{space 2} 1.215277{col 26}{space 2} .2367445{col 37}{space 1}    5.13{col 46}{space 3}0.000{col 54}{space 4} .7512669{col 67}{space 3} 1.679288
{txt}{space 9}PT  {c |}{col 14}{res}{space 2} 1.584008{col 26}{space 2} .2651122{col 37}{space 1}    5.97{col 46}{space 3}0.000{col 54}{space 4} 1.064397{col 67}{space 3} 2.103618
{txt}{space 9}SE  {c |}{col 14}{res}{space 2} 1.419014{col 26}{space 2} .2449402{col 37}{space 1}    5.79{col 46}{space 3}0.000{col 54}{space 4} .9389402{col 67}{space 3} 1.899088
{txt}{space 12} {c |}
{space 4}iscoco10 {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .0074192{col 26}{space 2} .1282874{col 37}{space 1}    0.06{col 46}{space 3}0.954{col 54}{space 4}-.2440196{col 67}{space 3} .2588579
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.4143822{col 26}{space 2} .1273335{col 37}{space 1}   -3.25{col 46}{space 3}0.001{col 54}{space 4}-.6639514{col 67}{space 3}-.1648131
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.1592385{col 26}{space 2} .1846465{col 37}{space 1}   -0.86{col 46}{space 3}0.388{col 54}{space 4} -.521139{col 67}{space 3}  .202662
{txt}{space 10}5  {c |}{col 14}{res}{space 2}-.4104337{col 26}{space 2} .1697734{col 37}{space 1}   -2.42{col 46}{space 3}0.016{col 54}{space 4}-.7431835{col 67}{space 3}-.0776838
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.7226984{col 26}{space 2} .2469583{col 37}{space 1}   -2.93{col 46}{space 3}0.003{col 54}{space 4}-1.206728{col 67}{space 3}-.2386689
{txt}{space 10}7  {c |}{col 14}{res}{space 2}-.6273592{col 26}{space 2} .1420809{col 37}{space 1}   -4.42{col 46}{space 3}0.000{col 54}{space 4}-.9058326{col 67}{space 3}-.3488857
{txt}{space 10}8  {c |}{col 14}{res}{space 2}-.6218333{col 26}{space 2} .1609895{col 37}{space 1}   -3.86{col 46}{space 3}0.000{col 54}{space 4}-.9373669{col 67}{space 3}-.3062997
{txt}{space 10}9  {c |}{col 14}{res}{space 2}-.5624989{col 26}{space 2} .2046408{col 37}{space 1}   -2.75{col 46}{space 3}0.006{col 54}{space 4}-.9635876{col 67}{space 3}-.1614103
{txt}{space 12} {c |}
{space 5}1.rural {c |}{col 14}{res}{space 2}  .059177{col 26}{space 2} .0780065{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4} -.093713{col 67}{space 3}  .212067
{txt}{space 3}1.married {c |}{col 14}{res}{space 2}  .080462{col 26}{space 2} .0932225{col 37}{space 1}    0.86{col 46}{space 3}0.388{col 54}{space 4}-.1022508{col 67}{space 3} .2631748
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-3.202865{col 26}{space 2} 9.893839{col 37}{space 1}   -0.32{col 46}{space 3}0.746{col 54}{space 4}-22.59443{col 67}{space 3}  16.1887
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 15 26}Instrumented:{space 2}rtrd{p_end}
{p 0 15 26}Instruments:{space 3}eduyrs agea agesquared hinctnta ever_child lrscale brncntr 2.country 3.country 5.country 6.country 8.country 9.country 11.country 13.country 16.country 17.country 19.country 20.country 2.iscoco10 3.iscoco10 4.iscoco10 5.iscoco10 6.iscoco10 7.iscoco10 8.iscoco10 9.iscoco10 1.rural 1.married above_early above_full{p_end}

{com}. *w/o DE

. ivregress 2sls imbgeco (rtrd=above_early above_full) eduyrs agea agesquared hinctnta ever_child lrscale brncntr i.country i.iscoco10 i.rural i.married if cntry!="DE", robust 
{res}{txt}note: 5.country identifies no observations in the sample
{res}
{txt}{col 1}Instrumental variables (2SLS) regression{col 51}Number of obs{col 67}= {res}     3,131
{txt}{col 1}{col 51}Wald chi2({res}30{txt}){col 67}= {res}    597.09
{txt}{col 1}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}{col 1}{col 51}R-squared{col 67}= {res}    0.1478
{txt}{col 51}Root MSE{col 67}=    {res} 2.2092

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     imbgeco{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}rtrd {c |}{col 14}{res}{space 2}-.5687078{col 26}{space 2}  .674133{col 37}{space 1}   -0.84{col 46}{space 3}0.399{col 54}{space 4}-1.889984{col 67}{space 3} .7525686
{txt}{space 6}eduyrs {c |}{col 14}{res}{space 2} .0728651{col 26}{space 2} .0122437{col 37}{space 1}    5.95{col 46}{space 3}0.000{col 54}{space 4}  .048868{col 67}{space 3} .0968623
{txt}{space 8}agea {c |}{col 14}{res}{space 2} .0970442{col 26}{space 2} .2972193{col 37}{space 1}    0.33{col 46}{space 3}0.744{col 54}{space 4}-.4854948{col 67}{space 3} .6795832
{txt}{space 2}agesquared {c |}{col 14}{res}{space 2}-.0004934{col 26}{space 2} .0027622{col 37}{space 1}   -0.18{col 46}{space 3}0.858{col 54}{space 4}-.0059072{col 67}{space 3} .0049205
{txt}{space 4}hinctnta {c |}{col 14}{res}{space 2} .0582366{col 26}{space 2} .0213285{col 37}{space 1}    2.73{col 46}{space 3}0.006{col 54}{space 4} .0164335{col 67}{space 3} .1000396
{txt}{space 2}ever_child {c |}{col 14}{res}{space 2} -.017281{col 26}{space 2} .1090821{col 37}{space 1}   -0.16{col 46}{space 3}0.874{col 54}{space 4} -.231078{col 67}{space 3} .1965161
{txt}{space 5}lrscale {c |}{col 14}{res}{space 2}-.1440432{col 26}{space 2} .0206681{col 37}{space 1}   -6.97{col 46}{space 3}0.000{col 54}{space 4} -.184552{col 67}{space 3}-.1035343
{txt}{space 5}brncntr {c |}{col 14}{res}{space 2} .7372459{col 26}{space 2} .1713433{col 37}{space 1}    4.30{col 46}{space 3}0.000{col 54}{space 4} .4014193{col 67}{space 3} 1.073073
{txt}{space 12} {c |}
{space 5}country {c |}
{space 9}BE  {c |}{col 14}{res}{space 2}-.3976359{col 26}{space 2} .2252139{col 37}{space 1}   -1.77{col 46}{space 3}0.077{col 54}{space 4} -.839047{col 67}{space 3} .0437753
{txt}{space 9}CH  {c |}{col 14}{res}{space 2} 1.213528{col 26}{space 2} .2278532{col 37}{space 1}    5.33{col 46}{space 3}0.000{col 54}{space 4} .7669439{col 67}{space 3} 1.660112
{txt}{space 9}DE  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 9}DK  {c |}{col 14}{res}{space 2} .1892821{col 26}{space 2}   .23473{col 37}{space 1}    0.81{col 46}{space 3}0.420{col 54}{space 4}-.2707802{col 67}{space 3} .6493445
{txt}{space 9}ES  {c |}{col 14}{res}{space 2} .6872442{col 26}{space 2} .2495621{col 37}{space 1}    2.75{col 46}{space 3}0.006{col 54}{space 4} .1981115{col 67}{space 3} 1.176377
{txt}{space 9}FI  {c |}{col 14}{res}{space 2} .5870478{col 26}{space 2} .2089813{col 37}{space 1}    2.81{col 46}{space 3}0.005{col 54}{space 4}  .177452{col 67}{space 3} .9966437
{txt}{space 9}FR  {c |}{col 14}{res}{space 2}-.1343134{col 26}{space 2} .2298633{col 37}{space 1}   -0.58{col 46}{space 3}0.559{col 54}{space 4}-.5848373{col 67}{space 3} .3162105
{txt}{space 9}GB  {c |}{col 14}{res}{space 2} -.240351{col 26}{space 2} .2228093{col 37}{space 1}   -1.08{col 46}{space 3}0.281{col 54}{space 4}-.6770491{col 67}{space 3} .1963472
{txt}{space 9}IE  {c |}{col 14}{res}{space 2} .1162753{col 26}{space 2} .2395259{col 37}{space 1}    0.49{col 46}{space 3}0.627{col 54}{space 4}-.3531869{col 67}{space 3} .5857375
{txt}{space 9}NL  {c |}{col 14}{res}{space 2}-.1293367{col 26}{space 2} .2135963{col 37}{space 1}   -0.61{col 46}{space 3}0.545{col 54}{space 4}-.5479778{col 67}{space 3} .2893044
{txt}{space 9}NO  {c |}{col 14}{res}{space 2} .6041667{col 26}{space 2} .2361065{col 37}{space 1}    2.56{col 46}{space 3}0.011{col 54}{space 4} .1414065{col 67}{space 3} 1.066927
{txt}{space 9}PT  {c |}{col 14}{res}{space 2}  .622642{col 26}{space 2}   .28752{col 37}{space 1}    2.17{col 46}{space 3}0.030{col 54}{space 4} .0591133{col 67}{space 3} 1.186171
{txt}{space 9}SE  {c |}{col 14}{res}{space 2} .1824216{col 26}{space 2} .2467952{col 37}{space 1}    0.74{col 46}{space 3}0.460{col 54}{space 4} -.301288{col 67}{space 3} .6661313
{txt}{space 12} {c |}
{space 4}iscoco10 {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0857836{col 26}{space 2} .1347312{col 37}{space 1}   -0.64{col 46}{space 3}0.524{col 54}{space 4}-.3498518{col 67}{space 3} .1782846
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.3327701{col 26}{space 2} .1415649{col 37}{space 1}   -2.35{col 46}{space 3}0.019{col 54}{space 4}-.6102323{col 67}{space 3} -.055308
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.5006762{col 26}{space 2} .2125174{col 37}{space 1}   -2.36{col 46}{space 3}0.018{col 54}{space 4}-.9172027{col 67}{space 3}-.0841498
{txt}{space 10}5  {c |}{col 14}{res}{space 2}-.9026529{col 26}{space 2} .1904137{col 37}{space 1}   -4.74{col 46}{space 3}0.000{col 54}{space 4}-1.275857{col 67}{space 3}-.5294488
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.9828625{col 26}{space 2} .2424915{col 37}{space 1}   -4.05{col 46}{space 3}0.000{col 54}{space 4}-1.458137{col 67}{space 3}-.5075879
{txt}{space 10}7  {c |}{col 14}{res}{space 2}-1.022448{col 26}{space 2} .1555012{col 37}{space 1}   -6.58{col 46}{space 3}0.000{col 54}{space 4}-1.327225{col 67}{space 3}-.7176711
{txt}{space 10}8  {c |}{col 14}{res}{space 2}-1.173613{col 26}{space 2} .1762221{col 37}{space 1}   -6.66{col 46}{space 3}0.000{col 54}{space 4}-1.519002{col 67}{space 3} -.828224
{txt}{space 10}9  {c |}{col 14}{res}{space 2}-.9150694{col 26}{space 2} .2143471{col 37}{space 1}   -4.27{col 46}{space 3}0.000{col 54}{space 4}-1.335182{col 67}{space 3}-.4949568
{txt}{space 12} {c |}
{space 5}1.rural {c |}{col 14}{res}{space 2}-.1590146{col 26}{space 2} .0852285{col 37}{space 1}   -1.87{col 46}{space 3}0.062{col 54}{space 4}-.3260593{col 67}{space 3} .0080301
{txt}{space 3}1.married {c |}{col 14}{res}{space 2} .0318218{col 26}{space 2}  .094725{col 37}{space 1}    0.34{col 46}{space 3}0.737{col 54}{space 4}-.1538357{col 67}{space 3} .2174793
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .5811831{col 26}{space 2} 8.168857{col 37}{space 1}    0.07{col 46}{space 3}0.943{col 54}{space 4}-15.42948{col 67}{space 3} 16.59185
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 15 26}Instrumented:{space 2}rtrd{p_end}
{p 0 15 26}Instruments:{space 3}eduyrs agea agesquared hinctnta ever_child lrscale brncntr 2.country 3.country 6.country 8.country 9.country 10.country 11.country 13.country 16.country 17.country 19.country 20.country 2.iscoco10 3.iscoco10 4.iscoco10 5.iscoco10 6.iscoco10 7.iscoco10 8.iscoco10 9.iscoco10 1.rural 1.married above_early above_full{p_end}

{com}. ivregress 2sls imtcjob (rtrd=above_early above_full) eduyrs agea agesquared hinctnta ever_child lrscale brncntr i.country i.iscoco10 i.rural i.married if cntry!="DE", robust 
{res}{txt}note: 5.country identifies no observations in the sample
{res}
{txt}{col 1}Instrumental variables (2SLS) regression{col 51}Number of obs{col 67}= {res}     3,123
{txt}{col 1}{col 51}Wald chi2({res}30{txt}){col 67}= {res}    444.88
{txt}{col 1}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}{col 1}{col 51}R-squared{col 67}= {res}    0.1209
{txt}{col 51}Root MSE{col 67}=    {res} 2.0579

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     imtcjob{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}rtrd {c |}{col 14}{res}{space 2}-.5447836{col 26}{space 2} .6691727{col 37}{space 1}   -0.81{col 46}{space 3}0.416{col 54}{space 4}-1.856338{col 67}{space 3} .7667707
{txt}{space 6}eduyrs {c |}{col 14}{res}{space 2}   .04854{col 26}{space 2} .0111478{col 37}{space 1}    4.35{col 46}{space 3}0.000{col 54}{space 4} .0266908{col 67}{space 3} .0703892
{txt}{space 8}agea {c |}{col 14}{res}{space 2}-.0929575{col 26}{space 2} .2897557{col 37}{space 1}   -0.32{col 46}{space 3}0.748{col 54}{space 4}-.6608683{col 67}{space 3} .4749533
{txt}{space 2}agesquared {c |}{col 14}{res}{space 2} .0010397{col 26}{space 2} .0027025{col 37}{space 1}    0.38{col 46}{space 3}0.700{col 54}{space 4}-.0042571{col 67}{space 3} .0063366
{txt}{space 4}hinctnta {c |}{col 14}{res}{space 2} .0304554{col 26}{space 2} .0197213{col 37}{space 1}    1.54{col 46}{space 3}0.123{col 54}{space 4}-.0081977{col 67}{space 3} .0691085
{txt}{space 2}ever_child {c |}{col 14}{res}{space 2} .0557741{col 26}{space 2}  .105267{col 37}{space 1}    0.53{col 46}{space 3}0.596{col 54}{space 4}-.1505455{col 67}{space 3} .2620937
{txt}{space 5}lrscale {c |}{col 14}{res}{space 2}-.0355074{col 26}{space 2} .0192052{col 37}{space 1}   -1.85{col 46}{space 3}0.064{col 54}{space 4}-.0731488{col 67}{space 3}  .002134
{txt}{space 5}brncntr {c |}{col 14}{res}{space 2} .5972156{col 26}{space 2} .1613308{col 37}{space 1}    3.70{col 46}{space 3}0.000{col 54}{space 4}  .281013{col 67}{space 3} .9134181
{txt}{space 12} {c |}
{space 5}country {c |}
{space 9}BE  {c |}{col 14}{res}{space 2} .0903169{col 26}{space 2} .2138163{col 37}{space 1}    0.42{col 46}{space 3}0.673{col 54}{space 4}-.3287554{col 67}{space 3} .5093892
{txt}{space 9}CH  {c |}{col 14}{res}{space 2} .9401061{col 26}{space 2} .2183314{col 37}{space 1}    4.31{col 46}{space 3}0.000{col 54}{space 4} .5121844{col 67}{space 3} 1.368028
{txt}{space 9}DE  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 9}DK  {c |}{col 14}{res}{space 2} .9320494{col 26}{space 2} .2118118{col 37}{space 1}    4.40{col 46}{space 3}0.000{col 54}{space 4}  .516906{col 67}{space 3} 1.347193
{txt}{space 9}ES  {c |}{col 14}{res}{space 2} .3377541{col 26}{space 2} .2493061{col 37}{space 1}    1.35{col 46}{space 3}0.175{col 54}{space 4}-.1508768{col 67}{space 3} .8263849
{txt}{space 9}FI  {c |}{col 14}{res}{space 2}  1.14359{col 26}{space 2} .1953045{col 37}{space 1}    5.86{col 46}{space 3}0.000{col 54}{space 4} .7608003{col 67}{space 3}  1.52638
{txt}{space 9}FR  {c |}{col 14}{res}{space 2} .6491892{col 26}{space 2} .2259139{col 37}{space 1}    2.87{col 46}{space 3}0.004{col 54}{space 4}  .206406{col 67}{space 3} 1.091972
{txt}{space 9}GB  {c |}{col 14}{res}{space 2} .2501465{col 26}{space 2} .2149753{col 37}{space 1}    1.16{col 46}{space 3}0.245{col 54}{space 4}-.1711974{col 67}{space 3} .6714903
{txt}{space 9}IE  {c |}{col 14}{res}{space 2} .0467793{col 26}{space 2} .2250793{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.3943681{col 67}{space 3} .4879266
{txt}{space 9}NL  {c |}{col 14}{res}{space 2} .3508787{col 26}{space 2} .1987625{col 37}{space 1}    1.77{col 46}{space 3}0.078{col 54}{space 4}-.0386887{col 67}{space 3} .7404461
{txt}{space 9}NO  {c |}{col 14}{res}{space 2} 1.468098{col 26}{space 2} .2218796{col 37}{space 1}    6.62{col 46}{space 3}0.000{col 54}{space 4} 1.033222{col 67}{space 3} 1.902974
{txt}{space 9}PT  {c |}{col 14}{res}{space 2} .9783195{col 26}{space 2} .2743143{col 37}{space 1}    3.57{col 46}{space 3}0.000{col 54}{space 4} .4406733{col 67}{space 3} 1.515966
{txt}{space 9}SE  {c |}{col 14}{res}{space 2} 1.588541{col 26}{space 2} .2265237{col 37}{space 1}    7.01{col 46}{space 3}0.000{col 54}{space 4} 1.144563{col 67}{space 3} 2.032519
{txt}{space 12} {c |}
{space 4}iscoco10 {c |}
{space 10}2  {c |}{col 14}{res}{space 2}  .021392{col 26}{space 2} .1194609{col 37}{space 1}    0.18{col 46}{space 3}0.858{col 54}{space 4}-.2127471{col 67}{space 3} .2555311
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.1560871{col 26}{space 2} .1290691{col 37}{space 1}   -1.21{col 46}{space 3}0.227{col 54}{space 4}-.4090578{col 67}{space 3} .0968836
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.1350524{col 26}{space 2} .1872634{col 37}{space 1}   -0.72{col 46}{space 3}0.471{col 54}{space 4}-.5020819{col 67}{space 3} .2319772
{txt}{space 10}5  {c |}{col 14}{res}{space 2} -.592551{col 26}{space 2} .1722085{col 37}{space 1}   -3.44{col 46}{space 3}0.001{col 54}{space 4}-.9300734{col 67}{space 3}-.2550286
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.7667011{col 26}{space 2} .2542638{col 37}{space 1}   -3.02{col 46}{space 3}0.003{col 54}{space 4}-1.265049{col 67}{space 3}-.2683531
{txt}{space 10}7  {c |}{col 14}{res}{space 2}-.6808809{col 26}{space 2} .1463571{col 37}{space 1}   -4.65{col 46}{space 3}0.000{col 54}{space 4}-.9677355{col 67}{space 3}-.3940263
{txt}{space 10}8  {c |}{col 14}{res}{space 2}-.7028919{col 26}{space 2} .1632417{col 37}{space 1}   -4.31{col 46}{space 3}0.000{col 54}{space 4} -1.02284{col 67}{space 3} -.382944
{txt}{space 10}9  {c |}{col 14}{res}{space 2}-.8059605{col 26}{space 2} .1988537{col 37}{space 1}   -4.05{col 46}{space 3}0.000{col 54}{space 4}-1.195707{col 67}{space 3}-.4162144
{txt}{space 12} {c |}
{space 5}1.rural {c |}{col 14}{res}{space 2}-.0447514{col 26}{space 2} .0820129{col 37}{space 1}   -0.55{col 46}{space 3}0.585{col 54}{space 4}-.2054938{col 67}{space 3}  .115991
{txt}{space 3}1.married {c |}{col 14}{res}{space 2} -.032054{col 26}{space 2} .0900564{col 37}{space 1}   -0.36{col 46}{space 3}0.722{col 54}{space 4}-.2085613{col 67}{space 3} .1444532
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 5.567025{col 26}{space 2} 7.922898{col 37}{space 1}    0.70{col 46}{space 3}0.482{col 54}{space 4} -9.96157{col 67}{space 3} 21.09562
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 15 26}Instrumented:{space 2}rtrd{p_end}
{p 0 15 26}Instruments:{space 3}eduyrs agea agesquared hinctnta ever_child lrscale brncntr 2.country 3.country 6.country 8.country 9.country 10.country 11.country 13.country 16.country 17.country 19.country 20.country 2.iscoco10 3.iscoco10 4.iscoco10 5.iscoco10 6.iscoco10 7.iscoco10 8.iscoco10 9.iscoco10 1.rural 1.married above_early above_full{p_end}

{com}. ivregress 2sls imbleco (rtrd=above_early above_full) eduyrs agea agesquared hinctnta ever_child lrscale brncntr i.country i.iscoco10 i.rural i.married if cntry!="DE", robust 
{res}{txt}note: 5.country identifies no observations in the sample
{res}
{txt}{col 1}Instrumental variables (2SLS) regression{col 51}Number of obs{col 67}= {res}     3,115
{txt}{col 1}{col 51}Wald chi2({res}30{txt}){col 67}= {res}    338.91
{txt}{col 1}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}{col 1}{col 51}R-squared{col 67}= {res}    0.0921
{txt}{col 51}Root MSE{col 67}=    {res} 2.1279

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     imbleco{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}rtrd {c |}{col 14}{res}{space 2}-.2343978{col 26}{space 2} .6838235{col 37}{space 1}   -0.34{col 46}{space 3}0.732{col 54}{space 4}-1.574667{col 67}{space 3} 1.105872
{txt}{space 6}eduyrs {c |}{col 14}{res}{space 2} .0407448{col 26}{space 2} .0115906{col 37}{space 1}    3.52{col 46}{space 3}0.000{col 54}{space 4} .0180277{col 67}{space 3} .0634619
{txt}{space 8}agea {c |}{col 14}{res}{space 2} .0638435{col 26}{space 2} .2980978{col 37}{space 1}    0.21{col 46}{space 3}0.830{col 54}{space 4}-.5204175{col 67}{space 3} .6481045
{txt}{space 2}agesquared {c |}{col 14}{res}{space 2} -.000402{col 26}{space 2} .0027759{col 37}{space 1}   -0.14{col 46}{space 3}0.885{col 54}{space 4}-.0058426{col 67}{space 3} .0050387
{txt}{space 4}hinctnta {c |}{col 14}{res}{space 2} .0176059{col 26}{space 2} .0203645{col 37}{space 1}    0.86{col 46}{space 3}0.387{col 54}{space 4}-.0223078{col 67}{space 3} .0575196
{txt}{space 2}ever_child {c |}{col 14}{res}{space 2}-.2025465{col 26}{space 2} .1091517{col 37}{space 1}   -1.86{col 46}{space 3}0.064{col 54}{space 4}-.4164799{col 67}{space 3} .0113869
{txt}{space 5}lrscale {c |}{col 14}{res}{space 2}-.1439892{col 26}{space 2} .0196911{col 37}{space 1}   -7.31{col 46}{space 3}0.000{col 54}{space 4}-.1825831{col 67}{space 3}-.1053953
{txt}{space 5}brncntr {c |}{col 14}{res}{space 2} .8801164{col 26}{space 2} .1680008{col 37}{space 1}    5.24{col 46}{space 3}0.000{col 54}{space 4} .5508409{col 67}{space 3} 1.209392
{txt}{space 12} {c |}
{space 5}country {c |}
{space 9}BE  {c |}{col 14}{res}{space 2} .5068718{col 26}{space 2} .2157654{col 37}{space 1}    2.35{col 46}{space 3}0.019{col 54}{space 4} .0839795{col 67}{space 3} .9297642
{txt}{space 9}CH  {c |}{col 14}{res}{space 2} .6157157{col 26}{space 2} .2285833{col 37}{space 1}    2.69{col 46}{space 3}0.007{col 54}{space 4} .1677007{col 67}{space 3} 1.063731
{txt}{space 9}DE  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 9}DK  {c |}{col 14}{res}{space 2}  1.11969{col 26}{space 2} .2187607{col 37}{space 1}    5.12{col 46}{space 3}0.000{col 54}{space 4} .6909266{col 67}{space 3} 1.548453
{txt}{space 9}ES  {c |}{col 14}{res}{space 2} .2738422{col 26}{space 2} .2324949{col 37}{space 1}    1.18{col 46}{space 3}0.239{col 54}{space 4}-.1818394{col 67}{space 3} .7295238
{txt}{space 9}FI  {c |}{col 14}{res}{space 2} .9433638{col 26}{space 2} .2009713{col 37}{space 1}    4.69{col 46}{space 3}0.000{col 54}{space 4} .5494673{col 67}{space 3}  1.33726
{txt}{space 9}FR  {c |}{col 14}{res}{space 2} .8630119{col 26}{space 2} .2263214{col 37}{space 1}    3.81{col 46}{space 3}0.000{col 54}{space 4} .4194301{col 67}{space 3} 1.306594
{txt}{space 9}GB  {c |}{col 14}{res}{space 2}  .558379{col 26}{space 2} .2180822{col 37}{space 1}    2.56{col 46}{space 3}0.010{col 54}{space 4} .1309458{col 67}{space 3} .9858123
{txt}{space 9}IE  {c |}{col 14}{res}{space 2} .5569363{col 26}{space 2} .2321522{col 37}{space 1}    2.40{col 46}{space 3}0.016{col 54}{space 4} .1019264{col 67}{space 3} 1.011946
{txt}{space 9}NL  {c |}{col 14}{res}{space 2}  .797858{col 26}{space 2} .1994788{col 37}{space 1}    4.00{col 46}{space 3}0.000{col 54}{space 4} .4068868{col 67}{space 3} 1.188829
{txt}{space 9}NO  {c |}{col 14}{res}{space 2} 1.179643{col 26}{space 2} .2253155{col 37}{space 1}    5.24{col 46}{space 3}0.000{col 54}{space 4} .7380326{col 67}{space 3} 1.621253
{txt}{space 9}PT  {c |}{col 14}{res}{space 2} 1.593914{col 26}{space 2} .2624378{col 37}{space 1}    6.07{col 46}{space 3}0.000{col 54}{space 4} 1.079546{col 67}{space 3} 2.108283
{txt}{space 9}SE  {c |}{col 14}{res}{space 2}  1.41338{col 26}{space 2} .2366191{col 37}{space 1}    5.97{col 46}{space 3}0.000{col 54}{space 4} .9496148{col 67}{space 3} 1.877145
{txt}{space 12} {c |}
{space 4}iscoco10 {c |}
{space 10}2  {c |}{col 14}{res}{space 2}  .012832{col 26}{space 2} .1339627{col 37}{space 1}    0.10{col 46}{space 3}0.924{col 54}{space 4}-.2497302{col 67}{space 3} .2753941
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.4167316{col 26}{space 2} .1373933{col 37}{space 1}   -3.03{col 46}{space 3}0.002{col 54}{space 4}-.6860175{col 67}{space 3}-.1474458
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.2290029{col 26}{space 2} .2044883{col 37}{space 1}   -1.12{col 46}{space 3}0.263{col 54}{space 4}-.6297926{col 67}{space 3} .1717868
{txt}{space 10}5  {c |}{col 14}{res}{space 2}-.4720913{col 26}{space 2} .1777896{col 37}{space 1}   -2.66{col 46}{space 3}0.008{col 54}{space 4}-.8205524{col 67}{space 3}-.1236301
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.7527136{col 26}{space 2} .2527478{col 37}{space 1}   -2.98{col 46}{space 3}0.003{col 54}{space 4} -1.24809{col 67}{space 3}-.2573371
{txt}{space 10}7  {c |}{col 14}{res}{space 2}-.6324092{col 26}{space 2} .1530231{col 37}{space 1}   -4.13{col 46}{space 3}0.000{col 54}{space 4}-.9323289{col 67}{space 3}-.3324895
{txt}{space 10}8  {c |}{col 14}{res}{space 2}-.5723714{col 26}{space 2} .1679669{col 37}{space 1}   -3.41{col 46}{space 3}0.001{col 54}{space 4}-.9015804{col 67}{space 3}-.2431623
{txt}{space 10}9  {c |}{col 14}{res}{space 2}-.7019599{col 26}{space 2} .2041824{col 37}{space 1}   -3.44{col 46}{space 3}0.001{col 54}{space 4} -1.10215{col 67}{space 3}-.3017698
{txt}{space 12} {c |}
{space 5}1.rural {c |}{col 14}{res}{space 2} .0503604{col 26}{space 2} .0832207{col 37}{space 1}    0.61{col 46}{space 3}0.545{col 54}{space 4}-.1127491{col 67}{space 3}   .21347
{txt}{space 3}1.married {c |}{col 14}{res}{space 2} .1715102{col 26}{space 2} .0939586{col 37}{space 1}    1.83{col 46}{space 3}0.068{col 54}{space 4}-.0126452{col 67}{space 3} .3556656
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 1.071682{col 26}{space 2} 8.177439{col 37}{space 1}    0.13{col 46}{space 3}0.896{col 54}{space 4} -14.9558{col 67}{space 3} 17.09917
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 15 26}Instrumented:{space 2}rtrd{p_end}
{p 0 15 26}Instruments:{space 3}eduyrs agea agesquared hinctnta ever_child lrscale brncntr 2.country 3.country 6.country 8.country 9.country 10.country 11.country 13.country 16.country 17.country 19.country 20.country 2.iscoco10 3.iscoco10 4.iscoco10 5.iscoco10 6.iscoco10 7.iscoco10 8.iscoco10 9.iscoco10 1.rural 1.married above_early above_full{p_end}

{com}. *w/o IE

. ivregress 2sls imbgeco (rtrd=above_early above_full) eduyrs agea agesquared hinctnta ever_child lrscale brncntr i.country i.iscoco10 i.rural i.married if cntry!="IE", robust 
{res}{txt}note: 13.country identifies no observations in the sample
{res}
{txt}{col 1}Instrumental variables (2SLS) regression{col 51}Number of obs{col 67}= {res}     3,356
{txt}{col 1}{col 51}Wald chi2({res}30{txt}){col 67}= {res}    729.96
{txt}{col 1}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}{col 1}{col 51}R-squared{col 67}= {res}    0.1675
{txt}{col 51}Root MSE{col 67}=    {res} 2.1565

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     imbgeco{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}rtrd {c |}{col 14}{res}{space 2}-.5435469{col 26}{space 2} .6198241{col 37}{space 1}   -0.88{col 46}{space 3}0.381{col 54}{space 4} -1.75838{col 67}{space 3} .6712861
{txt}{space 6}eduyrs {c |}{col 14}{res}{space 2} .0699284{col 26}{space 2} .0117836{col 37}{space 1}    5.93{col 46}{space 3}0.000{col 54}{space 4} .0468329{col 67}{space 3} .0930239
{txt}{space 8}agea {c |}{col 14}{res}{space 2} .1233421{col 26}{space 2} .2833035{col 37}{space 1}    0.44{col 46}{space 3}0.663{col 54}{space 4}-.4319226{col 67}{space 3} .6786067
{txt}{space 2}agesquared {c |}{col 14}{res}{space 2}-.0006951{col 26}{space 2} .0026305{col 37}{space 1}   -0.26{col 46}{space 3}0.792{col 54}{space 4}-.0058507{col 67}{space 3} .0044606
{txt}{space 4}hinctnta {c |}{col 14}{res}{space 2} .0739173{col 26}{space 2} .0195854{col 37}{space 1}    3.77{col 46}{space 3}0.000{col 54}{space 4} .0355306{col 67}{space 3} .1123039
{txt}{space 2}ever_child {c |}{col 14}{res}{space 2}-.1043607{col 26}{space 2} .1033612{col 37}{space 1}   -1.01{col 46}{space 3}0.313{col 54}{space 4}-.3069449{col 67}{space 3} .0982236
{txt}{space 5}lrscale {c |}{col 14}{res}{space 2}-.1461375{col 26}{space 2}  .019676{col 37}{space 1}   -7.43{col 46}{space 3}0.000{col 54}{space 4}-.1847017{col 67}{space 3}-.1075733
{txt}{space 5}brncntr {c |}{col 14}{res}{space 2} .6489242{col 26}{space 2} .1631572{col 37}{space 1}    3.98{col 46}{space 3}0.000{col 54}{space 4}  .329142{col 67}{space 3} .9687064
{txt}{space 12} {c |}
{space 5}country {c |}
{space 9}BE  {c |}{col 14}{res}{space 2} -.400243{col 26}{space 2} .2252544{col 37}{space 1}   -1.78{col 46}{space 3}0.076{col 54}{space 4}-.8417335{col 67}{space 3} .0412476
{txt}{space 9}CH  {c |}{col 14}{res}{space 2} 1.223629{col 26}{space 2} .2268027{col 37}{space 1}    5.40{col 46}{space 3}0.000{col 54}{space 4} .7791037{col 67}{space 3} 1.668154
{txt}{space 9}DE  {c |}{col 14}{res}{space 2} .7467157{col 26}{space 2} .1986828{col 37}{space 1}    3.76{col 46}{space 3}0.000{col 54}{space 4} .3573045{col 67}{space 3} 1.136127
{txt}{space 9}DK  {c |}{col 14}{res}{space 2} .1896205{col 26}{space 2} .2345774{col 37}{space 1}    0.81{col 46}{space 3}0.419{col 54}{space 4}-.2701427{col 67}{space 3} .6493838
{txt}{space 9}ES  {c |}{col 14}{res}{space 2} .7054129{col 26}{space 2} .2487521{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4} .2178677{col 67}{space 3} 1.192958
{txt}{space 9}FI  {c |}{col 14}{res}{space 2} .5677665{col 26}{space 2} .2094163{col 37}{space 1}    2.71{col 46}{space 3}0.007{col 54}{space 4} .1573181{col 67}{space 3} .9782149
{txt}{space 9}FR  {c |}{col 14}{res}{space 2}-.1455156{col 26}{space 2} .2288718{col 37}{space 1}   -0.64{col 46}{space 3}0.525{col 54}{space 4}-.5940961{col 67}{space 3} .3030648
{txt}{space 9}GB  {c |}{col 14}{res}{space 2} -.246452{col 26}{space 2} .2230575{col 37}{space 1}   -1.10{col 46}{space 3}0.269{col 54}{space 4}-.6836367{col 67}{space 3} .1907327
{txt}{space 9}IE  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 9}NL  {c |}{col 14}{res}{space 2}-.1526259{col 26}{space 2} .2130075{col 37}{space 1}   -0.72{col 46}{space 3}0.474{col 54}{space 4}-.5701129{col 67}{space 3} .2648612
{txt}{space 9}NO  {c |}{col 14}{res}{space 2} .6063368{col 26}{space 2}  .233692{col 37}{space 1}    2.59{col 46}{space 3}0.009{col 54}{space 4}  .148309{col 67}{space 3} 1.064365
{txt}{space 9}PT  {c |}{col 14}{res}{space 2} .6127954{col 26}{space 2}  .287797{col 37}{space 1}    2.13{col 46}{space 3}0.033{col 54}{space 4} .0487236{col 67}{space 3} 1.176867
{txt}{space 9}SE  {c |}{col 14}{res}{space 2} .1584323{col 26}{space 2} .2445561{col 37}{space 1}    0.65{col 46}{space 3}0.517{col 54}{space 4}-.3208888{col 67}{space 3} .6377534
{txt}{space 12} {c |}
{space 4}iscoco10 {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0471153{col 26}{space 2} .1272104{col 37}{space 1}   -0.37{col 46}{space 3}0.711{col 54}{space 4}-.2964432{col 67}{space 3} .2022125
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.3058118{col 26}{space 2} .1304562{col 37}{space 1}   -2.34{col 46}{space 3}0.019{col 54}{space 4}-.5615012{col 67}{space 3}-.0501223
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.4260347{col 26}{space 2} .1943542{col 37}{space 1}   -2.19{col 46}{space 3}0.028{col 54}{space 4} -.806962{col 67}{space 3}-.0451074
{txt}{space 10}5  {c |}{col 14}{res}{space 2} -.836825{col 26}{space 2} .1837477{col 37}{space 1}   -4.55{col 46}{space 3}0.000{col 54}{space 4}-1.196964{col 67}{space 3}-.4766861
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.9576008{col 26}{space 2} .2355345{col 37}{space 1}   -4.07{col 46}{space 3}0.000{col 54}{space 4} -1.41924{col 67}{space 3}-.4959616
{txt}{space 10}7  {c |}{col 14}{res}{space 2}-1.046274{col 26}{space 2} .1459592{col 37}{space 1}   -7.17{col 46}{space 3}0.000{col 54}{space 4}-1.332348{col 67}{space 3}-.7601989
{txt}{space 10}8  {c |}{col 14}{res}{space 2} -1.19825{col 26}{space 2} .1686952{col 37}{space 1}   -7.10{col 46}{space 3}0.000{col 54}{space 4}-1.528887{col 67}{space 3}-.8676136
{txt}{space 10}9  {c |}{col 14}{res}{space 2}-.8586144{col 26}{space 2} .2079838{col 37}{space 1}   -4.13{col 46}{space 3}0.000{col 54}{space 4}-1.266255{col 67}{space 3}-.4509736
{txt}{space 12} {c |}
{space 5}1.rural {c |}{col 14}{res}{space 2}-.1615504{col 26}{space 2} .0807177{col 37}{space 1}   -2.00{col 46}{space 3}0.045{col 54}{space 4}-.3197542{col 67}{space 3}-.0033467
{txt}{space 3}1.married {c |}{col 14}{res}{space 2}  -.03936{col 26}{space 2} .0883066{col 37}{space 1}   -0.45{col 46}{space 3}0.656{col 54}{space 4}-.2124377{col 67}{space 3} .1337176
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.113861{col 26}{space 2} 7.776076{col 37}{space 1}   -0.01{col 46}{space 3}0.988{col 54}{space 4}-15.35469{col 67}{space 3} 15.12697
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 15 26}Instrumented:{space 2}rtrd{p_end}
{p 0 15 26}Instruments:{space 3}eduyrs agea agesquared hinctnta ever_child lrscale brncntr 2.country 3.country 5.country 6.country 8.country 9.country 10.country 11.country 16.country 17.country 19.country 20.country 2.iscoco10 3.iscoco10 4.iscoco10 5.iscoco10 6.iscoco10 7.iscoco10 8.iscoco10 9.iscoco10 1.rural 1.married above_early above_full{p_end}

{com}. ivregress 2sls imtcjob (rtrd=above_early above_full) eduyrs agea agesquared hinctnta ever_child lrscale brncntr i.country i.iscoco10 i.rural i.married if cntry!="IE", robust 
{res}{txt}note: 13.country identifies no observations in the sample
{res}
{txt}{col 1}Instrumental variables (2SLS) regression{col 51}Number of obs{col 67}= {res}     3,351
{txt}{col 1}{col 51}Wald chi2({res}30{txt}){col 67}= {res}    443.36
{txt}{col 1}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}{col 1}{col 51}R-squared{col 67}= {res}    0.1182
{txt}{col 51}Root MSE{col 67}=    {res} 2.0115

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     imtcjob{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}rtrd {c |}{col 14}{res}{space 2}-.5160537{col 26}{space 2} .6191484{col 37}{space 1}   -0.83{col 46}{space 3}0.405{col 54}{space 4}-1.729562{col 67}{space 3} .6974548
{txt}{space 6}eduyrs {c |}{col 14}{res}{space 2} .0493592{col 26}{space 2}  .010761{col 37}{space 1}    4.59{col 46}{space 3}0.000{col 54}{space 4} .0282681{col 67}{space 3} .0704503
{txt}{space 8}agea {c |}{col 14}{res}{space 2}-.0774386{col 26}{space 2} .2741478{col 37}{space 1}   -0.28{col 46}{space 3}0.778{col 54}{space 4}-.6147585{col 67}{space 3} .4598812
{txt}{space 2}agesquared {c |}{col 14}{res}{space 2} .0009138{col 26}{space 2} .0025554{col 37}{space 1}    0.36{col 46}{space 3}0.721{col 54}{space 4}-.0040948{col 67}{space 3} .0059224
{txt}{space 4}hinctnta {c |}{col 14}{res}{space 2} .0353174{col 26}{space 2} .0183015{col 37}{space 1}    1.93{col 46}{space 3}0.054{col 54}{space 4}-.0005528{col 67}{space 3} .0711876
{txt}{space 2}ever_child {c |}{col 14}{res}{space 2}-.0020217{col 26}{space 2} .0997269{col 37}{space 1}   -0.02{col 46}{space 3}0.984{col 54}{space 4}-.1974829{col 67}{space 3} .1934394
{txt}{space 5}lrscale {c |}{col 14}{res}{space 2}-.0447532{col 26}{space 2} .0184638{col 37}{space 1}   -2.42{col 46}{space 3}0.015{col 54}{space 4}-.0809416{col 67}{space 3}-.0085649
{txt}{space 5}brncntr {c |}{col 14}{res}{space 2}  .576281{col 26}{space 2} .1531963{col 37}{space 1}    3.76{col 46}{space 3}0.000{col 54}{space 4} .2760218{col 67}{space 3} .8765401
{txt}{space 12} {c |}
{space 5}country {c |}
{space 9}BE  {c |}{col 14}{res}{space 2} .1249296{col 26}{space 2} .2136779{col 37}{space 1}    0.58{col 46}{space 3}0.559{col 54}{space 4}-.2938715{col 67}{space 3} .5437307
{txt}{space 9}CH  {c |}{col 14}{res}{space 2} .9883513{col 26}{space 2} .2162573{col 37}{space 1}    4.57{col 46}{space 3}0.000{col 54}{space 4} .5644947{col 67}{space 3} 1.412208
{txt}{space 9}DE  {c |}{col 14}{res}{space 2} 1.185836{col 26}{space 2} .1861803{col 37}{space 1}    6.37{col 46}{space 3}0.000{col 54}{space 4}  .820929{col 67}{space 3} 1.550742
{txt}{space 9}DK  {c |}{col 14}{res}{space 2} .9507234{col 26}{space 2} .2109789{col 37}{space 1}    4.51{col 46}{space 3}0.000{col 54}{space 4} .5372124{col 67}{space 3} 1.364234
{txt}{space 9}ES  {c |}{col 14}{res}{space 2} .3520653{col 26}{space 2} .2469634{col 37}{space 1}    1.43{col 46}{space 3}0.154{col 54}{space 4}-.1319741{col 67}{space 3} .8361046
{txt}{space 9}FI  {c |}{col 14}{res}{space 2} 1.164707{col 26}{space 2}  .195078{col 37}{space 1}    5.97{col 46}{space 3}0.000{col 54}{space 4} .7823609{col 67}{space 3} 1.547053
{txt}{space 9}FR  {c |}{col 14}{res}{space 2}  .661797{col 26}{space 2} .2242513{col 37}{space 1}    2.95{col 46}{space 3}0.003{col 54}{space 4} .2222726{col 67}{space 3} 1.101321
{txt}{space 9}GB  {c |}{col 14}{res}{space 2} .2425659{col 26}{space 2}  .214401{col 37}{space 1}    1.13{col 46}{space 3}0.258{col 54}{space 4}-.1776523{col 67}{space 3} .6627841
{txt}{space 9}IE  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 9}NL  {c |}{col 14}{res}{space 2} .3667089{col 26}{space 2} .1974545{col 37}{space 1}    1.86{col 46}{space 3}0.063{col 54}{space 4}-.0202949{col 67}{space 3} .7537126
{txt}{space 9}NO  {c |}{col 14}{res}{space 2}   1.5049{col 26}{space 2} .2182089{col 37}{space 1}    6.90{col 46}{space 3}0.000{col 54}{space 4} 1.077219{col 67}{space 3} 1.932582
{txt}{space 9}PT  {c |}{col 14}{res}{space 2} .9761355{col 26}{space 2} .2742988{col 37}{space 1}    3.56{col 46}{space 3}0.000{col 54}{space 4} .4385197{col 67}{space 3} 1.513751
{txt}{space 9}SE  {c |}{col 14}{res}{space 2} 1.602407{col 26}{space 2} .2232069{col 37}{space 1}    7.18{col 46}{space 3}0.000{col 54}{space 4}  1.16493{col 67}{space 3} 2.039885
{txt}{space 12} {c |}
{space 4}iscoco10 {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0811279{col 26}{space 2} .1132223{col 37}{space 1}   -0.72{col 46}{space 3}0.474{col 54}{space 4}-.3030395{col 67}{space 3} .1407837
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.2177996{col 26}{space 2}  .118983{col 37}{space 1}   -1.83{col 46}{space 3}0.067{col 54}{space 4} -.451002{col 67}{space 3} .0154029
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.0981698{col 26}{space 2} .1668859{col 37}{space 1}   -0.59{col 46}{space 3}0.556{col 54}{space 4}-.4252603{col 67}{space 3} .2289206
{txt}{space 10}5  {c |}{col 14}{res}{space 2}-.5427064{col 26}{space 2} .1606344{col 37}{space 1}   -3.38{col 46}{space 3}0.001{col 54}{space 4}-.8575441{col 67}{space 3}-.2278687
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.7257189{col 26}{space 2}  .248084{col 37}{space 1}   -2.93{col 46}{space 3}0.003{col 54}{space 4}-1.211955{col 67}{space 3}-.2394833
{txt}{space 10}7  {c |}{col 14}{res}{space 2}-.6880321{col 26}{space 2} .1372859{col 37}{space 1}   -5.01{col 46}{space 3}0.000{col 54}{space 4}-.9571076{col 67}{space 3}-.4189567
{txt}{space 10}8  {c |}{col 14}{res}{space 2}-.6742038{col 26}{space 2} .1553747{col 37}{space 1}   -4.34{col 46}{space 3}0.000{col 54}{space 4}-.9787326{col 67}{space 3}-.3696749
{txt}{space 10}9  {c |}{col 14}{res}{space 2}-.6860765{col 26}{space 2} .1946554{col 37}{space 1}   -3.52{col 46}{space 3}0.000{col 54}{space 4}-1.067594{col 67}{space 3} -.304559
{txt}{space 12} {c |}
{space 5}1.rural {c |}{col 14}{res}{space 2}-.1135979{col 26}{space 2} .0772123{col 37}{space 1}   -1.47{col 46}{space 3}0.141{col 54}{space 4}-.2649312{col 67}{space 3} .0377355
{txt}{space 3}1.married {c |}{col 14}{res}{space 2}-.0577793{col 26}{space 2} .0833162{col 37}{space 1}   -0.69{col 46}{space 3}0.488{col 54}{space 4}-.2210761{col 67}{space 3} .1055175
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 5.202149{col 26}{space 2} 7.491852{col 37}{space 1}    0.69{col 46}{space 3}0.487{col 54}{space 4}-9.481612{col 67}{space 3} 19.88591
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 15 26}Instrumented:{space 2}rtrd{p_end}
{p 0 15 26}Instruments:{space 3}eduyrs agea agesquared hinctnta ever_child lrscale brncntr 2.country 3.country 5.country 6.country 8.country 9.country 10.country 11.country 16.country 17.country 19.country 20.country 2.iscoco10 3.iscoco10 4.iscoco10 5.iscoco10 6.iscoco10 7.iscoco10 8.iscoco10 9.iscoco10 1.rural 1.married above_early above_full{p_end}

{com}. ivregress 2sls imbleco (rtrd=above_early above_full) eduyrs agea agesquared hinctnta ever_child lrscale brncntr i.country i.iscoco10 i.rural i.married if cntry!="IE", robust 
{res}{txt}note: 13.country identifies no observations in the sample
{res}
{txt}{col 1}Instrumental variables (2SLS) regression{col 51}Number of obs{col 67}= {res}     3,339
{txt}{col 1}{col 51}Wald chi2({res}30{txt}){col 67}= {res}    388.42
{txt}{col 1}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}{col 1}{col 51}R-squared{col 67}= {res}    0.1039
{txt}{col 51}Root MSE{col 67}=    {res}  2.063

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     imbleco{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}rtrd {c |}{col 14}{res}{space 2}-.1228276{col 26}{space 2} .6214421{col 37}{space 1}   -0.20{col 46}{space 3}0.843{col 54}{space 4}-1.340832{col 67}{space 3} 1.095177
{txt}{space 6}eduyrs {c |}{col 14}{res}{space 2} .0422724{col 26}{space 2} .0111287{col 37}{space 1}    3.80{col 46}{space 3}0.000{col 54}{space 4} .0204606{col 67}{space 3} .0640841
{txt}{space 8}agea {c |}{col 14}{res}{space 2} .1862612{col 26}{space 2} .2800576{col 37}{space 1}    0.67{col 46}{space 3}0.506{col 54}{space 4}-.3626417{col 67}{space 3} .7351641
{txt}{space 2}agesquared {c |}{col 14}{res}{space 2}-.0014909{col 26}{space 2} .0026054{col 37}{space 1}   -0.57{col 46}{space 3}0.567{col 54}{space 4}-.0065975{col 67}{space 3} .0036157
{txt}{space 4}hinctnta {c |}{col 14}{res}{space 2} .0334121{col 26}{space 2} .0185384{col 37}{space 1}    1.80{col 46}{space 3}0.071{col 54}{space 4}-.0029225{col 67}{space 3} .0697466
{txt}{space 2}ever_child {c |}{col 14}{res}{space 2}-.2599287{col 26}{space 2} .1010392{col 37}{space 1}   -2.57{col 46}{space 3}0.010{col 54}{space 4}-.4579618{col 67}{space 3}-.0618956
{txt}{space 5}lrscale {c |}{col 14}{res}{space 2}-.1549688{col 26}{space 2}  .018798{col 37}{space 1}   -8.24{col 46}{space 3}0.000{col 54}{space 4}-.1918123{col 67}{space 3}-.1181253
{txt}{space 5}brncntr {c |}{col 14}{res}{space 2} .8063183{col 26}{space 2} .1518349{col 37}{space 1}    5.31{col 46}{space 3}0.000{col 54}{space 4} .5087274{col 67}{space 3} 1.103909
{txt}{space 12} {c |}
{space 5}country {c |}
{space 9}BE  {c |}{col 14}{res}{space 2} .5079883{col 26}{space 2}  .215993{col 37}{space 1}    2.35{col 46}{space 3}0.019{col 54}{space 4} .0846498{col 67}{space 3} .9313269
{txt}{space 9}CH  {c |}{col 14}{res}{space 2} .6657301{col 26}{space 2}  .227083{col 37}{space 1}    2.93{col 46}{space 3}0.003{col 54}{space 4} .2206557{col 67}{space 3} 1.110805
{txt}{space 9}DE  {c |}{col 14}{res}{space 2}  1.16114{col 26}{space 2} .1878028{col 37}{space 1}    6.18{col 46}{space 3}0.000{col 54}{space 4} .7930536{col 67}{space 3} 1.529227
{txt}{space 9}DK  {c |}{col 14}{res}{space 2} 1.132183{col 26}{space 2} .2182842{col 37}{space 1}    5.19{col 46}{space 3}0.000{col 54}{space 4} .7043539{col 67}{space 3} 1.560012
{txt}{space 9}ES  {c |}{col 14}{res}{space 2} .2885169{col 26}{space 2} .2299588{col 37}{space 1}    1.25{col 46}{space 3}0.210{col 54}{space 4} -.162194{col 67}{space 3} .7392278
{txt}{space 9}FI  {c |}{col 14}{res}{space 2} .9488632{col 26}{space 2} .2017771{col 37}{space 1}    4.70{col 46}{space 3}0.000{col 54}{space 4} .5533873{col 67}{space 3} 1.344339
{txt}{space 9}FR  {c |}{col 14}{res}{space 2} .8419116{col 26}{space 2}  .225287{col 37}{space 1}    3.74{col 46}{space 3}0.000{col 54}{space 4} .4003571{col 67}{space 3} 1.283466
{txt}{space 9}GB  {c |}{col 14}{res}{space 2}  .556344{col 26}{space 2} .2183974{col 37}{space 1}    2.55{col 46}{space 3}0.011{col 54}{space 4} .1282929{col 67}{space 3} .9843951
{txt}{space 9}IE  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 9}NL  {c |}{col 14}{res}{space 2} .7911951{col 26}{space 2} .1991997{col 37}{space 1}    3.97{col 46}{space 3}0.000{col 54}{space 4} .4007709{col 67}{space 3} 1.181619
{txt}{space 9}NO  {c |}{col 14}{res}{space 2}  1.21208{col 26}{space 2} .2215381{col 37}{space 1}    5.47{col 46}{space 3}0.000{col 54}{space 4} .7778732{col 67}{space 3} 1.646287
{txt}{space 9}PT  {c |}{col 14}{res}{space 2} 1.592706{col 26}{space 2} .2632882{col 37}{space 1}    6.05{col 46}{space 3}0.000{col 54}{space 4} 1.076671{col 67}{space 3} 2.108741
{txt}{space 9}SE  {c |}{col 14}{res}{space 2} 1.418693{col 26}{space 2} .2326346{col 37}{space 1}    6.10{col 46}{space 3}0.000{col 54}{space 4} .9627379{col 67}{space 3} 1.874649
{txt}{space 12} {c |}
{space 4}iscoco10 {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0241365{col 26}{space 2}  .127616{col 37}{space 1}   -0.19{col 46}{space 3}0.850{col 54}{space 4}-.2742592{col 67}{space 3} .2259862
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.3509058{col 26}{space 2} .1272138{col 37}{space 1}   -2.76{col 46}{space 3}0.006{col 54}{space 4}-.6002401{col 67}{space 3}-.1015714
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.1444091{col 26}{space 2} .1823065{col 37}{space 1}   -0.79{col 46}{space 3}0.428{col 54}{space 4}-.5017233{col 67}{space 3} .2129051
{txt}{space 10}5  {c |}{col 14}{res}{space 2}-.4123602{col 26}{space 2} .1690394{col 37}{space 1}   -2.44{col 46}{space 3}0.015{col 54}{space 4}-.7436713{col 67}{space 3} -.081049
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.6173884{col 26}{space 2}  .240273{col 37}{space 1}   -2.57{col 46}{space 3}0.010{col 54}{space 4}-1.088315{col 67}{space 3} -.146462
{txt}{space 10}7  {c |}{col 14}{res}{space 2}-.6677793{col 26}{space 2} .1422421{col 37}{space 1}   -4.69{col 46}{space 3}0.000{col 54}{space 4}-.9465687{col 67}{space 3}-.3889899
{txt}{space 10}8  {c |}{col 14}{res}{space 2}-.5752027{col 26}{space 2} .1591684{col 37}{space 1}   -3.61{col 46}{space 3}0.000{col 54}{space 4}-.8871671{col 67}{space 3}-.2632383
{txt}{space 10}9  {c |}{col 14}{res}{space 2}-.4692661{col 26}{space 2} .1938186{col 37}{space 1}   -2.42{col 46}{space 3}0.015{col 54}{space 4}-.8491436{col 67}{space 3}-.0893885
{txt}{space 12} {c |}
{space 5}1.rural {c |}{col 14}{res}{space 2} .0241403{col 26}{space 2} .0772679{col 37}{space 1}    0.31{col 46}{space 3}0.755{col 54}{space 4}-.1273021{col 67}{space 3} .1755826
{txt}{space 3}1.married {c |}{col 14}{res}{space 2} .0929427{col 26}{space 2} .0876663{col 37}{space 1}    1.06{col 46}{space 3}0.289{col 54}{space 4}-.0788801{col 67}{space 3} .2647656
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-2.258426{col 26}{space 2} 7.674225{col 37}{space 1}   -0.29{col 46}{space 3}0.769{col 54}{space 4}-17.29963{col 67}{space 3} 12.78278
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 15 26}Instrumented:{space 2}rtrd{p_end}
{p 0 15 26}Instruments:{space 3}eduyrs agea agesquared hinctnta ever_child lrscale brncntr 2.country 3.country 5.country 6.country 8.country 9.country 10.country 11.country 16.country 17.country 19.country 20.country 2.iscoco10 3.iscoco10 4.iscoco10 5.iscoco10 6.iscoco10 7.iscoco10 8.iscoco10 9.iscoco10 1.rural 1.married above_early above_full{p_end}

{com}. *w/o NL

. ivregress 2sls imbgeco (rtrd=above_early above_full) eduyrs agea agesquared hinctnta ever_child lrscale brncntr i.country i.iscoco10 i.rural i.married if cntry!="NL", robust 
{res}{txt}note: 16.country identifies no observations in the sample
{res}
{txt}{col 1}Instrumental variables (2SLS) regression{col 51}Number of obs{col 67}= {res}     3,318
{txt}{col 1}{col 51}Wald chi2({res}30{txt}){col 67}= {res}    707.41
{txt}{col 1}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}{col 1}{col 51}R-squared{col 67}= {res}    0.1590
{txt}{col 51}Root MSE{col 67}=    {res} 2.2147

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     imbgeco{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}rtrd {c |}{col 14}{res}{space 2}-.8575888{col 26}{space 2} .7188065{col 37}{space 1}   -1.19{col 46}{space 3}0.233{col 54}{space 4}-2.266424{col 67}{space 3} .5512461
{txt}{space 6}eduyrs {c |}{col 14}{res}{space 2}  .071983{col 26}{space 2} .0125248{col 37}{space 1}    5.75{col 46}{space 3}0.000{col 54}{space 4} .0474347{col 67}{space 3} .0965312
{txt}{space 8}agea {c |}{col 14}{res}{space 2} .0511975{col 26}{space 2} .2990761{col 37}{space 1}    0.17{col 46}{space 3}0.864{col 54}{space 4}-.5349809{col 67}{space 3} .6373759
{txt}{space 2}agesquared {c |}{col 14}{res}{space 2} .0000107{col 26}{space 2}  .002802{col 37}{space 1}    0.00{col 46}{space 3}0.997{col 54}{space 4}-.0054811{col 67}{space 3} .0055025
{txt}{space 4}hinctnta {c |}{col 14}{res}{space 2} .0604744{col 26}{space 2} .0212441{col 37}{space 1}    2.85{col 46}{space 3}0.004{col 54}{space 4} .0188369{col 67}{space 3}  .102112
{txt}{space 2}ever_child {c |}{col 14}{res}{space 2}-.0538854{col 26}{space 2} .1071987{col 37}{space 1}   -0.50{col 46}{space 3}0.615{col 54}{space 4} -.263991{col 67}{space 3} .1562202
{txt}{space 5}lrscale {c |}{col 14}{res}{space 2}-.1404303{col 26}{space 2} .0201215{col 37}{space 1}   -6.98{col 46}{space 3}0.000{col 54}{space 4}-.1798677{col 67}{space 3}-.1009928
{txt}{space 5}brncntr {c |}{col 14}{res}{space 2} .7150963{col 26}{space 2} .1606858{col 37}{space 1}    4.45{col 46}{space 3}0.000{col 54}{space 4} .4001579{col 67}{space 3} 1.030035
{txt}{space 12} {c |}
{space 5}country {c |}
{space 9}BE  {c |}{col 14}{res}{space 2}-.3909096{col 26}{space 2} .2258252{col 37}{space 1}   -1.73{col 46}{space 3}0.083{col 54}{space 4}-.8335189{col 67}{space 3} .0516996
{txt}{space 9}CH  {c |}{col 14}{res}{space 2} 1.189528{col 26}{space 2} .2276417{col 37}{space 1}    5.23{col 46}{space 3}0.000{col 54}{space 4} .7433589{col 67}{space 3} 1.635698
{txt}{space 9}DE  {c |}{col 14}{res}{space 2}  .731851{col 26}{space 2} .1975078{col 37}{space 1}    3.71{col 46}{space 3}0.000{col 54}{space 4} .3447428{col 67}{space 3} 1.118959
{txt}{space 9}DK  {c |}{col 14}{res}{space 2} .1688833{col 26}{space 2} .2335263{col 37}{space 1}    0.72{col 46}{space 3}0.470{col 54}{space 4}-.2888199{col 67}{space 3} .6265864
{txt}{space 9}ES  {c |}{col 14}{res}{space 2} .6751156{col 26}{space 2} .2495486{col 37}{space 1}    2.71{col 46}{space 3}0.007{col 54}{space 4} .1860092{col 67}{space 3} 1.164222
{txt}{space 9}FI  {c |}{col 14}{res}{space 2} .5882132{col 26}{space 2} .2083141{col 37}{space 1}    2.82{col 46}{space 3}0.005{col 54}{space 4} .1799251{col 67}{space 3} .9965013
{txt}{space 9}FR  {c |}{col 14}{res}{space 2}-.1041088{col 26}{space 2} .2315613{col 37}{space 1}   -0.45{col 46}{space 3}0.653{col 54}{space 4}-.5579607{col 67}{space 3} .3497431
{txt}{space 9}GB  {c |}{col 14}{res}{space 2}-.2462473{col 26}{space 2} .2228487{col 37}{space 1}   -1.10{col 46}{space 3}0.269{col 54}{space 4}-.6830227{col 67}{space 3} .1905282
{txt}{space 9}IE  {c |}{col 14}{res}{space 2} .1129736{col 26}{space 2} .2391211{col 37}{space 1}    0.47{col 46}{space 3}0.637{col 54}{space 4}-.3556952{col 67}{space 3} .5816424
{txt}{space 9}NL  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 9}NO  {c |}{col 14}{res}{space 2} .5588527{col 26}{space 2} .2375914{col 37}{space 1}    2.35{col 46}{space 3}0.019{col 54}{space 4} .0931821{col 67}{space 3} 1.024523
{txt}{space 9}PT  {c |}{col 14}{res}{space 2} .6338453{col 26}{space 2} .2886643{col 37}{space 1}    2.20{col 46}{space 3}0.028{col 54}{space 4} .0680737{col 67}{space 3} 1.199617
{txt}{space 9}SE  {c |}{col 14}{res}{space 2} .1316061{col 26}{space 2} .2480311{col 37}{space 1}    0.53{col 46}{space 3}0.596{col 54}{space 4}-.3545259{col 67}{space 3} .6177382
{txt}{space 12} {c |}
{space 4}iscoco10 {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.1053719{col 26}{space 2} .1346937{col 37}{space 1}   -0.78{col 46}{space 3}0.434{col 54}{space 4}-.3693666{col 67}{space 3} .1586228
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.3087258{col 26}{space 2} .1393116{col 37}{space 1}   -2.22{col 46}{space 3}0.027{col 54}{space 4}-.5817716{col 67}{space 3}  -.03568
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.4798184{col 26}{space 2} .2069935{col 37}{space 1}   -2.32{col 46}{space 3}0.020{col 54}{space 4}-.8855183{col 67}{space 3}-.0741186
{txt}{space 10}5  {c |}{col 14}{res}{space 2}-.9801782{col 26}{space 2} .1920531{col 37}{space 1}   -5.10{col 46}{space 3}0.000{col 54}{space 4}-1.356595{col 67}{space 3} -.603761
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-1.098756{col 26}{space 2} .2424121{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-1.573875{col 67}{space 3}-.6236376
{txt}{space 10}7  {c |}{col 14}{res}{space 2}-1.047247{col 26}{space 2} .1530228{col 37}{space 1}   -6.84{col 46}{space 3}0.000{col 54}{space 4}-1.347166{col 67}{space 3}-.7473275
{txt}{space 10}8  {c |}{col 14}{res}{space 2}-1.255854{col 26}{space 2} .1730383{col 37}{space 1}   -7.26{col 46}{space 3}0.000{col 54}{space 4}-1.595003{col 67}{space 3}-.9167051
{txt}{space 10}9  {c |}{col 14}{res}{space 2}-1.033119{col 26}{space 2} .2174532{col 37}{space 1}   -4.75{col 46}{space 3}0.000{col 54}{space 4}-1.459319{col 67}{space 3}-.6069182
{txt}{space 12} {c |}
{space 5}1.rural {c |}{col 14}{res}{space 2}-.1760338{col 26}{space 2} .0823889{col 37}{space 1}   -2.14{col 46}{space 3}0.033{col 54}{space 4}-.3375131{col 67}{space 3}-.0145545
{txt}{space 3}1.married {c |}{col 14}{res}{space 2} .0170028{col 26}{space 2} .0937585{col 37}{space 1}    0.18{col 46}{space 3}0.856{col 54}{space 4}-.1667604{col 67}{space 3} .2007661
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 1.694455{col 26}{space 2} 8.159936{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-14.29873{col 67}{space 3} 17.68764
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 15 26}Instrumented:{space 2}rtrd{p_end}
{p 0 15 26}Instruments:{space 3}eduyrs agea agesquared hinctnta ever_child lrscale brncntr 2.country 3.country 5.country 6.country 8.country 9.country 10.country 11.country 13.country 17.country 19.country 20.country 2.iscoco10 3.iscoco10 4.iscoco10 5.iscoco10 6.iscoco10 7.iscoco10 8.iscoco10 9.iscoco10 1.rural 1.married above_early above_full{p_end}

{com}. ivregress 2sls imtcjob (rtrd=above_early above_full) eduyrs agea agesquared hinctnta ever_child lrscale brncntr i.country i.iscoco10 i.rural i.married if cntry!="NL", robust 
{res}{txt}note: 16.country identifies no observations in the sample
{res}
{txt}{col 1}Instrumental variables (2SLS) regression{col 51}Number of obs{col 67}= {res}     3,309
{txt}{col 1}{col 51}Wald chi2({res}30{txt}){col 67}= {res}    480.68
{txt}{col 1}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}{col 1}{col 51}R-squared{col 67}= {res}    0.1306
{txt}{col 51}Root MSE{col 67}=    {res} 2.0548

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     imtcjob{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}rtrd {c |}{col 14}{res}{space 2}-.2556981{col 26}{space 2} .7046243{col 37}{space 1}   -0.36{col 46}{space 3}0.717{col 54}{space 4}-1.636736{col 67}{space 3}  1.12534
{txt}{space 6}eduyrs {c |}{col 14}{res}{space 2} .0525772{col 26}{space 2} .0112923{col 37}{space 1}    4.66{col 46}{space 3}0.000{col 54}{space 4} .0304447{col 67}{space 3} .0747098
{txt}{space 8}agea {c |}{col 14}{res}{space 2} .0201711{col 26}{space 2} .2886042{col 37}{space 1}    0.07{col 46}{space 3}0.944{col 54}{space 4}-.5454826{col 67}{space 3} .5858249
{txt}{space 2}agesquared {c |}{col 14}{res}{space 2}-.0000828{col 26}{space 2} .0027102{col 37}{space 1}   -0.03{col 46}{space 3}0.976{col 54}{space 4}-.0053946{col 67}{space 3}  .005229
{txt}{space 4}hinctnta {c |}{col 14}{res}{space 2} .0242117{col 26}{space 2} .0198822{col 37}{space 1}    1.22{col 46}{space 3}0.223{col 54}{space 4}-.0147567{col 67}{space 3}   .06318
{txt}{space 2}ever_child {c |}{col 14}{res}{space 2} .0589692{col 26}{space 2} .1031696{col 37}{space 1}    0.57{col 46}{space 3}0.568{col 54}{space 4}-.1432394{col 67}{space 3} .2611779
{txt}{space 5}lrscale {c |}{col 14}{res}{space 2}-.0400863{col 26}{space 2} .0186265{col 37}{space 1}   -2.15{col 46}{space 3}0.031{col 54}{space 4}-.0765936{col 67}{space 3}-.0035791
{txt}{space 5}brncntr {c |}{col 14}{res}{space 2} .5760931{col 26}{space 2} .1521669{col 37}{space 1}    3.79{col 46}{space 3}0.000{col 54}{space 4} .2778515{col 67}{space 3} .8743347
{txt}{space 12} {c |}
{space 5}country {c |}
{space 9}BE  {c |}{col 14}{res}{space 2}  .095482{col 26}{space 2}  .215124{col 37}{space 1}    0.44{col 46}{space 3}0.657{col 54}{space 4}-.3261532{col 67}{space 3} .5171172
{txt}{space 9}CH  {c |}{col 14}{res}{space 2} .9959885{col 26}{space 2} .2182402{col 37}{space 1}    4.56{col 46}{space 3}0.000{col 54}{space 4} .5682456{col 67}{space 3} 1.423731
{txt}{space 9}DE  {c |}{col 14}{res}{space 2} 1.174859{col 26}{space 2} .1863935{col 37}{space 1}    6.30{col 46}{space 3}0.000{col 54}{space 4} .8095342{col 67}{space 3} 1.540183
{txt}{space 9}DK  {c |}{col 14}{res}{space 2} .9509563{col 26}{space 2} .2112649{col 37}{space 1}    4.50{col 46}{space 3}0.000{col 54}{space 4} .5368848{col 67}{space 3} 1.365028
{txt}{space 9}ES  {c |}{col 14}{res}{space 2}  .360129{col 26}{space 2} .2486658{col 37}{space 1}    1.45{col 46}{space 3}0.148{col 54}{space 4}-.1272469{col 67}{space 3}  .847505
{txt}{space 9}FI  {c |}{col 14}{res}{space 2} 1.168494{col 26}{space 2}  .195273{col 37}{space 1}    5.98{col 46}{space 3}0.000{col 54}{space 4} .7857662{col 67}{space 3} 1.551222
{txt}{space 9}FR  {c |}{col 14}{res}{space 2}  .635185{col 26}{space 2}  .228593{col 37}{space 1}    2.78{col 46}{space 3}0.005{col 54}{space 4}  .187151{col 67}{space 3} 1.083219
{txt}{space 9}GB  {c |}{col 14}{res}{space 2} .2563125{col 26}{space 2} .2147379{col 37}{space 1}    1.19{col 46}{space 3}0.233{col 54}{space 4}-.1645661{col 67}{space 3}  .677191
{txt}{space 9}IE  {c |}{col 14}{res}{space 2} .0792959{col 26}{space 2} .2244936{col 37}{space 1}    0.35{col 46}{space 3}0.724{col 54}{space 4}-.3607034{col 67}{space 3} .5192952
{txt}{space 9}NL  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 9}NO  {c |}{col 14}{res}{space 2} 1.529828{col 26}{space 2} .2225509{col 37}{space 1}    6.87{col 46}{space 3}0.000{col 54}{space 4} 1.093637{col 67}{space 3}  1.96602
{txt}{space 9}PT  {c |}{col 14}{res}{space 2}  .993032{col 26}{space 2} .2741856{col 37}{space 1}    3.62{col 46}{space 3}0.000{col 54}{space 4} .4556381{col 67}{space 3} 1.530426
{txt}{space 9}SE  {c |}{col 14}{res}{space 2} 1.666311{col 26}{space 2} .2263176{col 37}{space 1}    7.36{col 46}{space 3}0.000{col 54}{space 4} 1.222737{col 67}{space 3} 2.109886
{txt}{space 12} {c |}
{space 4}iscoco10 {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.1235703{col 26}{space 2} .1200162{col 37}{space 1}   -1.03{col 46}{space 3}0.303{col 54}{space 4}-.3587979{col 67}{space 3} .1116572
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.2778203{col 26}{space 2} .1262338{col 37}{space 1}   -2.20{col 46}{space 3}0.028{col 54}{space 4}-.5252339{col 67}{space 3}-.0304067
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.2730432{col 26}{space 2} .1757051{col 37}{space 1}   -1.55{col 46}{space 3}0.120{col 54}{space 4}-.6174188{col 67}{space 3} .0713324
{txt}{space 10}5  {c |}{col 14}{res}{space 2}-.7381892{col 26}{space 2} .1701486{col 37}{space 1}   -4.34{col 46}{space 3}0.000{col 54}{space 4}-1.071674{col 67}{space 3}-.4047042
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.8461387{col 26}{space 2} .2509875{col 37}{space 1}   -3.37{col 46}{space 3}0.001{col 54}{space 4}-1.338065{col 67}{space 3}-.3542122
{txt}{space 10}7  {c |}{col 14}{res}{space 2}-.7350515{col 26}{space 2}   .14151{col 37}{space 1}   -5.19{col 46}{space 3}0.000{col 54}{space 4}-1.012406{col 67}{space 3}-.4576971
{txt}{space 10}8  {c |}{col 14}{res}{space 2}-.7875396{col 26}{space 2} .1580454{col 37}{space 1}   -4.98{col 46}{space 3}0.000{col 54}{space 4}-1.097303{col 67}{space 3}-.4777763
{txt}{space 10}9  {c |}{col 14}{res}{space 2} -.870111{col 26}{space 2} .2004677{col 37}{space 1}   -4.34{col 46}{space 3}0.000{col 54}{space 4} -1.26302{col 67}{space 3}-.4772016
{txt}{space 12} {c |}
{space 5}1.rural {c |}{col 14}{res}{space 2}-.1318533{col 26}{space 2} .0787454{col 37}{space 1}   -1.67{col 46}{space 3}0.094{col 54}{space 4}-.2861916{col 67}{space 3} .0224849
{txt}{space 3}1.married {c |}{col 14}{res}{space 2} .0152084{col 26}{space 2} .0884608{col 37}{space 1}    0.17{col 46}{space 3}0.863{col 54}{space 4}-.1581716{col 67}{space 3} .1885884
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 2.853388{col 26}{space 2} 7.847116{col 37}{space 1}    0.36{col 46}{space 3}0.716{col 54}{space 4}-12.52668{col 67}{space 3} 18.23345
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 15 26}Instrumented:{space 2}rtrd{p_end}
{p 0 15 26}Instruments:{space 3}eduyrs agea agesquared hinctnta ever_child lrscale brncntr 2.country 3.country 5.country 6.country 8.country 9.country 10.country 11.country 13.country 17.country 19.country 20.country 2.iscoco10 3.iscoco10 4.iscoco10 5.iscoco10 6.iscoco10 7.iscoco10 8.iscoco10 9.iscoco10 1.rural 1.married above_early above_full{p_end}

{com}. ivregress 2sls imbleco (rtrd=above_early above_full) eduyrs agea agesquared hinctnta ever_child lrscale brncntr i.country i.iscoco10 i.rural i.married if cntry!="NL", robust 
{res}{txt}note: 16.country identifies no observations in the sample
{res}
{txt}{col 1}Instrumental variables (2SLS) regression{col 51}Number of obs{col 67}= {res}     3,305
{txt}{col 1}{col 51}Wald chi2({res}30{txt}){col 67}= {res}    385.10
{txt}{col 1}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}{col 1}{col 51}R-squared{col 67}= {res}    0.0983
{txt}{col 51}Root MSE{col 67}=    {res} 2.1267

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     imbleco{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}rtrd {c |}{col 14}{res}{space 2}-.4077988{col 26}{space 2} .7146618{col 37}{space 1}   -0.57{col 46}{space 3}0.568{col 54}{space 4} -1.80851{col 67}{space 3} .9929127
{txt}{space 6}eduyrs {c |}{col 14}{res}{space 2} .0413032{col 26}{space 2} .0117504{col 37}{space 1}    3.52{col 46}{space 3}0.000{col 54}{space 4} .0182729{col 67}{space 3} .0643336
{txt}{space 8}agea {c |}{col 14}{res}{space 2} .0652223{col 26}{space 2} .2947658{col 37}{space 1}    0.22{col 46}{space 3}0.825{col 54}{space 4}-.5125081{col 67}{space 3} .6429527
{txt}{space 2}agesquared {c |}{col 14}{res}{space 2}-.0003334{col 26}{space 2} .0027645{col 37}{space 1}   -0.12{col 46}{space 3}0.904{col 54}{space 4}-.0057517{col 67}{space 3} .0050849
{txt}{space 4}hinctnta {c |}{col 14}{res}{space 2}  .029832{col 26}{space 2} .0201771{col 37}{space 1}    1.48{col 46}{space 3}0.139{col 54}{space 4}-.0097144{col 67}{space 3} .0693785
{txt}{space 2}ever_child {c |}{col 14}{res}{space 2}-.1838324{col 26}{space 2} .1058914{col 37}{space 1}   -1.74{col 46}{space 3}0.083{col 54}{space 4}-.3913758{col 67}{space 3} .0237109
{txt}{space 5}lrscale {c |}{col 14}{res}{space 2}-.1469186{col 26}{space 2} .0192502{col 37}{space 1}   -7.63{col 46}{space 3}0.000{col 54}{space 4}-.1846483{col 67}{space 3}-.1091889
{txt}{space 5}brncntr {c |}{col 14}{res}{space 2}  .814284{col 26}{space 2} .1541961{col 37}{space 1}    5.28{col 46}{space 3}0.000{col 54}{space 4} .5120652{col 67}{space 3} 1.116503
{txt}{space 12} {c |}
{space 5}country {c |}
{space 9}BE  {c |}{col 14}{res}{space 2} .5120244{col 26}{space 2} .2165034{col 37}{space 1}    2.36{col 46}{space 3}0.018{col 54}{space 4} .0876855{col 67}{space 3} .9363633
{txt}{space 9}CH  {c |}{col 14}{res}{space 2} .6220902{col 26}{space 2} .2279097{col 37}{space 1}    2.73{col 46}{space 3}0.006{col 54}{space 4} .1753954{col 67}{space 3} 1.068785
{txt}{space 9}DE  {c |}{col 14}{res}{space 2} 1.142313{col 26}{space 2} .1870459{col 37}{space 1}    6.11{col 46}{space 3}0.000{col 54}{space 4} .7757094{col 67}{space 3} 1.508916
{txt}{space 9}DK  {c |}{col 14}{res}{space 2} 1.091133{col 26}{space 2} .2181132{col 37}{space 1}    5.00{col 46}{space 3}0.000{col 54}{space 4} .6636386{col 67}{space 3} 1.518627
{txt}{space 9}ES  {c |}{col 14}{res}{space 2} .2529144{col 26}{space 2} .2318455{col 37}{space 1}    1.09{col 46}{space 3}0.275{col 54}{space 4}-.2014945{col 67}{space 3} .7073232
{txt}{space 9}FI  {c |}{col 14}{res}{space 2} .9349401{col 26}{space 2} .2010379{col 37}{space 1}    4.65{col 46}{space 3}0.000{col 54}{space 4}  .540913{col 67}{space 3} 1.328967
{txt}{space 9}FR  {c |}{col 14}{res}{space 2} .8635086{col 26}{space 2}  .228194{col 37}{space 1}    3.78{col 46}{space 3}0.000{col 54}{space 4} .4162565{col 67}{space 3} 1.310761
{txt}{space 9}GB  {c |}{col 14}{res}{space 2} .5419911{col 26}{space 2} .2180312{col 37}{space 1}    2.49{col 46}{space 3}0.013{col 54}{space 4} .1146578{col 67}{space 3} .9693243
{txt}{space 9}IE  {c |}{col 14}{res}{space 2} .5607125{col 26}{space 2} .2324946{col 37}{space 1}    2.41{col 46}{space 3}0.016{col 54}{space 4} .1050314{col 67}{space 3} 1.016393
{txt}{space 9}NL  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 9}NO  {c |}{col 14}{res}{space 2} 1.146295{col 26}{space 2} .2256717{col 37}{space 1}    5.08{col 46}{space 3}0.000{col 54}{space 4} .7039865{col 67}{space 3} 1.588603
{txt}{space 9}PT  {c |}{col 14}{res}{space 2} 1.589965{col 26}{space 2} .2626225{col 37}{space 1}    6.05{col 46}{space 3}0.000{col 54}{space 4} 1.075234{col 67}{space 3} 2.104696
{txt}{space 9}SE  {c |}{col 14}{res}{space 2} 1.350338{col 26}{space 2} .2363652{col 37}{space 1}    5.71{col 46}{space 3}0.000{col 54}{space 4} .8870705{col 67}{space 3} 1.813605
{txt}{space 12} {c |}
{space 4}iscoco10 {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .0082437{col 26}{space 2} .1349374{col 37}{space 1}    0.06{col 46}{space 3}0.951{col 54}{space 4}-.2562288{col 67}{space 3} .2727162
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.3612177{col 26}{space 2} .1345639{col 37}{space 1}   -2.68{col 46}{space 3}0.007{col 54}{space 4}-.6249581{col 67}{space 3}-.0974773
{txt}{space 10}4  {c |}{col 14}{res}{space 2} -.142531{col 26}{space 2} .1988731{col 37}{space 1}   -0.72{col 46}{space 3}0.474{col 54}{space 4}-.5323151{col 67}{space 3}  .247253
{txt}{space 10}5  {c |}{col 14}{res}{space 2}-.4729899{col 26}{space 2} .1791861{col 37}{space 1}   -2.64{col 46}{space 3}0.008{col 54}{space 4}-.8241882{col 67}{space 3}-.1217915
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.7334781{col 26}{space 2}  .248367{col 37}{space 1}   -2.95{col 46}{space 3}0.003{col 54}{space 4}-1.220268{col 67}{space 3}-.2466878
{txt}{space 10}7  {c |}{col 14}{res}{space 2}-.6403863{col 26}{space 2} .1484099{col 37}{space 1}   -4.31{col 46}{space 3}0.000{col 54}{space 4}-.9312644{col 67}{space 3}-.3495083
{txt}{space 10}8  {c |}{col 14}{res}{space 2}-.5918368{col 26}{space 2} .1630369{col 37}{space 1}   -3.63{col 46}{space 3}0.000{col 54}{space 4}-.9113833{col 67}{space 3}-.2722902
{txt}{space 10}9  {c |}{col 14}{res}{space 2}-.6812065{col 26}{space 2} .2035133{col 37}{space 1}   -3.35{col 46}{space 3}0.001{col 54}{space 4}-1.080085{col 67}{space 3}-.2823278
{txt}{space 12} {c |}
{space 5}1.rural {c |}{col 14}{res}{space 2}-.0017307{col 26}{space 2} .0790508{col 37}{space 1}   -0.02{col 46}{space 3}0.983{col 54}{space 4}-.1566675{col 67}{space 3} .1532061
{txt}{space 3}1.married {c |}{col 14}{res}{space 2} .1143129{col 26}{space 2}  .092545{col 37}{space 1}    1.24{col 46}{space 3}0.217{col 54}{space 4}-.0670718{col 67}{space 3} .2956977
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .8556604{col 26}{space 2} 8.037028{col 37}{space 1}    0.11{col 46}{space 3}0.915{col 54}{space 4}-14.89663{col 67}{space 3} 16.60795
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 15 26}Instrumented:{space 2}rtrd{p_end}
{p 0 15 26}Instruments:{space 3}eduyrs agea agesquared hinctnta ever_child lrscale brncntr 2.country 3.country 5.country 6.country 8.country 9.country 10.country 11.country 13.country 17.country 19.country 20.country 2.iscoco10 3.iscoco10 4.iscoco10 5.iscoco10 6.iscoco10 7.iscoco10 8.iscoco10 9.iscoco10 1.rural 1.married above_early above_full{p_end}

{com}. *w/o NO

. ivregress 2sls imbgeco (rtrd=above_early above_full) eduyrs agea agesquared hinctnta ever_child lrscale brncntr i.country i.iscoco10 i.rural i.married if cntry!="NO", robust 
{res}{txt}note: 17.country identifies no observations in the sample
{res}
{txt}{col 1}Instrumental variables (2SLS) regression{col 51}Number of obs{col 67}= {res}     3,375
{txt}{col 1}{col 51}Wald chi2({res}30{txt}){col 67}= {res}    680.80
{txt}{col 1}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}{col 1}{col 51}R-squared{col 67}= {res}    0.1520
{txt}{col 51}Root MSE{col 67}=    {res} 2.2092

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     imbgeco{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}rtrd {c |}{col 14}{res}{space 2}-.7747952{col 26}{space 2} .6372403{col 37}{space 1}   -1.22{col 46}{space 3}0.224{col 54}{space 4}-2.023763{col 67}{space 3} .4741728
{txt}{space 6}eduyrs {c |}{col 14}{res}{space 2} .0719876{col 26}{space 2}  .012213{col 37}{space 1}    5.89{col 46}{space 3}0.000{col 54}{space 4} .0480505{col 67}{space 3} .0959247
{txt}{space 8}agea {c |}{col 14}{res}{space 2}-.0087506{col 26}{space 2} .2849626{col 37}{space 1}   -0.03{col 46}{space 3}0.976{col 54}{space 4}-.5672671{col 67}{space 3} .5497659
{txt}{space 2}agesquared {c |}{col 14}{res}{space 2} .0005255{col 26}{space 2} .0026557{col 37}{space 1}    0.20{col 46}{space 3}0.843{col 54}{space 4}-.0046795{col 67}{space 3} .0057306
{txt}{space 4}hinctnta {c |}{col 14}{res}{space 2} .0701673{col 26}{space 2}  .019638{col 37}{space 1}    3.57{col 46}{space 3}0.000{col 54}{space 4} .0316774{col 67}{space 3} .1086571
{txt}{space 2}ever_child {c |}{col 14}{res}{space 2}-.0544256{col 26}{space 2} .1036883{col 37}{space 1}   -0.52{col 46}{space 3}0.600{col 54}{space 4}-.2576509{col 67}{space 3} .1487998
{txt}{space 5}lrscale {c |}{col 14}{res}{space 2}-.1249281{col 26}{space 2} .0207422{col 37}{space 1}   -6.02{col 46}{space 3}0.000{col 54}{space 4}-.1655821{col 67}{space 3}-.0842741
{txt}{space 5}brncntr {c |}{col 14}{res}{space 2} .6386858{col 26}{space 2} .1650157{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4}  .315261{col 67}{space 3} .9621106
{txt}{space 12} {c |}
{space 5}country {c |}
{space 9}BE  {c |}{col 14}{res}{space 2}-.3985144{col 26}{space 2} .2253891{col 37}{space 1}   -1.77{col 46}{space 3}0.077{col 54}{space 4} -.840269{col 67}{space 3} .0432401
{txt}{space 9}CH  {c |}{col 14}{res}{space 2} 1.194003{col 26}{space 2} .2275828{col 37}{space 1}    5.25{col 46}{space 3}0.000{col 54}{space 4} .7479492{col 67}{space 3} 1.640057
{txt}{space 9}DE  {c |}{col 14}{res}{space 2} .7459689{col 26}{space 2} .1982915{col 37}{space 1}    3.76{col 46}{space 3}0.000{col 54}{space 4} .3573247{col 67}{space 3} 1.134613
{txt}{space 9}DK  {c |}{col 14}{res}{space 2} .1551209{col 26}{space 2} .2342949{col 37}{space 1}    0.66{col 46}{space 3}0.508{col 54}{space 4}-.3040888{col 67}{space 3} .6143305
{txt}{space 9}ES  {c |}{col 14}{res}{space 2} .7042078{col 26}{space 2}  .249547{col 37}{space 1}    2.82{col 46}{space 3}0.005{col 54}{space 4} .2151046{col 67}{space 3} 1.193311
{txt}{space 9}FI  {c |}{col 14}{res}{space 2} .5531147{col 26}{space 2} .2088044{col 37}{space 1}    2.65{col 46}{space 3}0.008{col 54}{space 4} .1438657{col 67}{space 3} .9623638
{txt}{space 9}FR  {c |}{col 14}{res}{space 2}-.1174004{col 26}{space 2} .2289146{col 37}{space 1}   -0.51{col 46}{space 3}0.608{col 54}{space 4}-.5660647{col 67}{space 3} .3312639
{txt}{space 9}GB  {c |}{col 14}{res}{space 2}-.2559859{col 26}{space 2} .2236474{col 37}{space 1}   -1.14{col 46}{space 3}0.252{col 54}{space 4}-.6943268{col 67}{space 3} .1823551
{txt}{space 9}IE  {c |}{col 14}{res}{space 2} .1084659{col 26}{space 2} .2388527{col 37}{space 1}    0.45{col 46}{space 3}0.650{col 54}{space 4}-.3596769{col 67}{space 3} .5766086
{txt}{space 9}NL  {c |}{col 14}{res}{space 2}-.1732883{col 26}{space 2} .2133366{col 37}{space 1}   -0.81{col 46}{space 3}0.417{col 54}{space 4}-.5914204{col 67}{space 3} .2448438
{txt}{space 9}NO  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 9}PT  {c |}{col 14}{res}{space 2} .6319809{col 26}{space 2} .2893443{col 37}{space 1}    2.18{col 46}{space 3}0.029{col 54}{space 4} .0648766{col 67}{space 3} 1.199085
{txt}{space 9}SE  {c |}{col 14}{res}{space 2}  .114674{col 26}{space 2}  .246357{col 37}{space 1}    0.47{col 46}{space 3}0.642{col 54}{space 4}-.3681769{col 67}{space 3} .5975249
{txt}{space 12} {c |}
{space 4}iscoco10 {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0572772{col 26}{space 2} .1330191{col 37}{space 1}   -0.43{col 46}{space 3}0.667{col 54}{space 4}-.3179899{col 67}{space 3} .2034355
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.2824529{col 26}{space 2} .1358966{col 37}{space 1}   -2.08{col 46}{space 3}0.038{col 54}{space 4}-.5488054{col 67}{space 3}-.0161004
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.4659285{col 26}{space 2} .1979793{col 37}{space 1}   -2.35{col 46}{space 3}0.019{col 54}{space 4}-.8539608{col 67}{space 3}-.0778961
{txt}{space 10}5  {c |}{col 14}{res}{space 2}-.9127817{col 26}{space 2} .1871644{col 37}{space 1}   -4.88{col 46}{space 3}0.000{col 54}{space 4}-1.279617{col 67}{space 3}-.5459463
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-1.052516{col 26}{space 2} .2391103{col 37}{space 1}   -4.40{col 46}{space 3}0.000{col 54}{space 4}-1.521163{col 67}{space 3} -.583868
{txt}{space 10}7  {c |}{col 14}{res}{space 2}-.9820991{col 26}{space 2}   .15133{col 37}{space 1}   -6.49{col 46}{space 3}0.000{col 54}{space 4}  -1.2787{col 67}{space 3}-.6854977
{txt}{space 10}8  {c |}{col 14}{res}{space 2}-1.236285{col 26}{space 2} .1725339{col 37}{space 1}   -7.17{col 46}{space 3}0.000{col 54}{space 4}-1.574445{col 67}{space 3}-.8981243
{txt}{space 10}9  {c |}{col 14}{res}{space 2}-.9462388{col 26}{space 2} .2100194{col 37}{space 1}   -4.51{col 46}{space 3}0.000{col 54}{space 4}-1.357869{col 67}{space 3}-.5346083
{txt}{space 12} {c |}
{space 5}1.rural {c |}{col 14}{res}{space 2}-.1509814{col 26}{space 2} .0814885{col 37}{space 1}   -1.85{col 46}{space 3}0.064{col 54}{space 4} -.310696{col 67}{space 3} .0087332
{txt}{space 3}1.married {c |}{col 14}{res}{space 2}-.0583946{col 26}{space 2}  .091895{col 37}{space 1}   -0.64{col 46}{space 3}0.525{col 54}{space 4}-.2385055{col 67}{space 3} .1217163
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 3.346469{col 26}{space 2} 7.789469{col 37}{space 1}    0.43{col 46}{space 3}0.667{col 54}{space 4}-11.92061{col 67}{space 3} 18.61355
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 15 26}Instrumented:{space 2}rtrd{p_end}
{p 0 15 26}Instruments:{space 3}eduyrs agea agesquared hinctnta ever_child lrscale brncntr 2.country 3.country 5.country 6.country 8.country 9.country 10.country 11.country 13.country 16.country 19.country 20.country 2.iscoco10 3.iscoco10 4.iscoco10 5.iscoco10 6.iscoco10 7.iscoco10 8.iscoco10 9.iscoco10 1.rural 1.married above_early above_full{p_end}

{com}. ivregress 2sls imtcjob (rtrd=above_early above_full) eduyrs agea agesquared hinctnta ever_child lrscale brncntr i.country i.iscoco10 i.rural i.married if cntry!="NO", robust 
{res}{txt}note: 17.country identifies no observations in the sample
{res}
{txt}{col 1}Instrumental variables (2SLS) regression{col 51}Number of obs{col 67}= {res}     3,365
{txt}{col 1}{col 51}Wald chi2({res}30{txt}){col 67}= {res}    452.07
{txt}{col 1}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}{col 1}{col 51}R-squared{col 67}= {res}    0.1216
{txt}{col 51}Root MSE{col 67}=    {res} 2.0485

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     imtcjob{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}rtrd {c |}{col 14}{res}{space 2}-.2390132{col 26}{space 2} .6275613{col 37}{space 1}   -0.38{col 46}{space 3}0.703{col 54}{space 4}-1.469011{col 67}{space 3} .9909844
{txt}{space 6}eduyrs {c |}{col 14}{res}{space 2} .0479511{col 26}{space 2}  .011005{col 37}{space 1}    4.36{col 46}{space 3}0.000{col 54}{space 4} .0263817{col 67}{space 3} .0695205
{txt}{space 8}agea {c |}{col 14}{res}{space 2}  .057574{col 26}{space 2} .2762621{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.4838897{col 67}{space 3} .5990376
{txt}{space 2}agesquared {c |}{col 14}{res}{space 2}-.0003603{col 26}{space 2} .0025821{col 37}{space 1}   -0.14{col 46}{space 3}0.889{col 54}{space 4}-.0054212{col 67}{space 3} .0047005
{txt}{space 4}hinctnta {c |}{col 14}{res}{space 2} .0383587{col 26}{space 2}  .018304{col 37}{space 1}    2.10{col 46}{space 3}0.036{col 54}{space 4} .0024836{col 67}{space 3} .0742338
{txt}{space 2}ever_child {c |}{col 14}{res}{space 2} .0239182{col 26}{space 2} .0988066{col 37}{space 1}    0.24{col 46}{space 3}0.809{col 54}{space 4}-.1697391{col 67}{space 3} .2175755
{txt}{space 5}lrscale {c |}{col 14}{res}{space 2} -.032127{col 26}{space 2} .0191051{col 37}{space 1}   -1.68{col 46}{space 3}0.093{col 54}{space 4}-.0695723{col 67}{space 3} .0053184
{txt}{space 5}brncntr {c |}{col 14}{res}{space 2}   .66122{col 26}{space 2} .1519508{col 37}{space 1}    4.35{col 46}{space 3}0.000{col 54}{space 4} .3634018{col 67}{space 3} .9590381
{txt}{space 12} {c |}
{space 5}country {c |}
{space 9}BE  {c |}{col 14}{res}{space 2} .0903646{col 26}{space 2} .2133869{col 37}{space 1}    0.42{col 46}{space 3}0.672{col 54}{space 4}-.3278659{col 67}{space 3} .5085952
{txt}{space 9}CH  {c |}{col 14}{res}{space 2} .9726036{col 26}{space 2} .2174308{col 37}{space 1}    4.47{col 46}{space 3}0.000{col 54}{space 4}  .546447{col 67}{space 3}  1.39876
{txt}{space 9}DE  {c |}{col 14}{res}{space 2} 1.178898{col 26}{space 2} .1862228{col 37}{space 1}    6.33{col 46}{space 3}0.000{col 54}{space 4} .8139076{col 67}{space 3} 1.543888
{txt}{space 9}DK  {c |}{col 14}{res}{space 2} .9388412{col 26}{space 2} .2111728{col 37}{space 1}    4.45{col 46}{space 3}0.000{col 54}{space 4} .5249501{col 67}{space 3} 1.352732
{txt}{space 9}ES  {c |}{col 14}{res}{space 2} .3766484{col 26}{space 2} .2470879{col 37}{space 1}    1.52{col 46}{space 3}0.127{col 54}{space 4}-.1076349{col 67}{space 3} .8609317
{txt}{space 9}FI  {c |}{col 14}{res}{space 2}  1.14688{col 26}{space 2} .1947626{col 37}{space 1}    5.89{col 46}{space 3}0.000{col 54}{space 4} .7651524{col 67}{space 3} 1.528608
{txt}{space 9}FR  {c |}{col 14}{res}{space 2} .6170467{col 26}{space 2} .2238496{col 37}{space 1}    2.76{col 46}{space 3}0.006{col 54}{space 4} .1783095{col 67}{space 3} 1.055784
{txt}{space 9}GB  {c |}{col 14}{res}{space 2} .2480935{col 26}{space 2} .2142939{col 37}{space 1}    1.16{col 46}{space 3}0.247{col 54}{space 4}-.1719149{col 67}{space 3} .6681019
{txt}{space 9}IE  {c |}{col 14}{res}{space 2} .0766425{col 26}{space 2} .2232058{col 37}{space 1}    0.34{col 46}{space 3}0.731{col 54}{space 4}-.3608328{col 67}{space 3} .5141179
{txt}{space 9}NL  {c |}{col 14}{res}{space 2} .3661114{col 26}{space 2}  .198081{col 37}{space 1}    1.85{col 46}{space 3}0.065{col 54}{space 4}-.0221203{col 67}{space 3} .7543431
{txt}{space 9}NO  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 9}PT  {c |}{col 14}{res}{space 2} .9709381{col 26}{space 2} .2737067{col 37}{space 1}    3.55{col 46}{space 3}0.000{col 54}{space 4} .4344829{col 67}{space 3} 1.507393
{txt}{space 9}SE  {c |}{col 14}{res}{space 2} 1.627178{col 26}{space 2} .2249276{col 37}{space 1}    7.23{col 46}{space 3}0.000{col 54}{space 4} 1.186328{col 67}{space 3} 2.068028
{txt}{space 12} {c |}
{space 4}iscoco10 {c |}
{space 10}2  {c |}{col 14}{res}{space 2} -.103717{col 26}{space 2} .1171762{col 37}{space 1}   -0.89{col 46}{space 3}0.376{col 54}{space 4}-.3333782{col 67}{space 3} .1259441
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.2456098{col 26}{space 2}  .124239{col 37}{space 1}   -1.98{col 46}{space 3}0.048{col 54}{space 4}-.4891138{col 67}{space 3}-.0021058
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.1806362{col 26}{space 2} .1709716{col 37}{space 1}   -1.06{col 46}{space 3}0.291{col 54}{space 4}-.5157345{col 67}{space 3} .1544621
{txt}{space 10}5  {c |}{col 14}{res}{space 2}-.6217376{col 26}{space 2}  .164236{col 37}{space 1}   -3.79{col 46}{space 3}0.000{col 54}{space 4}-.9436343{col 67}{space 3}-.2998409
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.7815895{col 26}{space 2} .2499873{col 37}{space 1}   -3.13{col 46}{space 3}0.002{col 54}{space 4}-1.271556{col 67}{space 3}-.2916235
{txt}{space 10}7  {c |}{col 14}{res}{space 2}-.7328668{col 26}{space 2} .1407495{col 37}{space 1}   -5.21{col 46}{space 3}0.000{col 54}{space 4}-1.008731{col 67}{space 3}-.4570029
{txt}{space 10}8  {c |}{col 14}{res}{space 2}-.8207741{col 26}{space 2} .1595118{col 37}{space 1}   -5.15{col 46}{space 3}0.000{col 54}{space 4}-1.133412{col 67}{space 3}-.5081367
{txt}{space 10}9  {c |}{col 14}{res}{space 2}-.8484715{col 26}{space 2} .1950855{col 37}{space 1}   -4.35{col 46}{space 3}0.000{col 54}{space 4}-1.230832{col 67}{space 3}-.4661109
{txt}{space 12} {c |}
{space 5}1.rural {c |}{col 14}{res}{space 2} -.143266{col 26}{space 2} .0779747{col 37}{space 1}   -1.84{col 46}{space 3}0.066{col 54}{space 4}-.2960936{col 67}{space 3} .0095616
{txt}{space 3}1.married {c |}{col 14}{res}{space 2} -.046722{col 26}{space 2} .0862856{col 37}{space 1}   -0.54{col 46}{space 3}0.588{col 54}{space 4}-.2158387{col 67}{space 3} .1223948
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 1.520746{col 26}{space 2} 7.518752{col 37}{space 1}    0.20{col 46}{space 3}0.840{col 54}{space 4}-13.21574{col 67}{space 3} 16.25723
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 15 26}Instrumented:{space 2}rtrd{p_end}
{p 0 15 26}Instruments:{space 3}eduyrs agea agesquared hinctnta ever_child lrscale brncntr 2.country 3.country 5.country 6.country 8.country 9.country 10.country 11.country 13.country 16.country 19.country 20.country 2.iscoco10 3.iscoco10 4.iscoco10 5.iscoco10 6.iscoco10 7.iscoco10 8.iscoco10 9.iscoco10 1.rural 1.married above_early above_full{p_end}

{com}. ivregress 2sls imbleco (rtrd=above_early above_full) eduyrs agea agesquared hinctnta ever_child lrscale brncntr i.country i.iscoco10 i.rural i.married if cntry!="NO", robust 
{res}{txt}note: 17.country identifies no observations in the sample
{res}
{txt}{col 1}Instrumental variables (2SLS) regression{col 51}Number of obs{col 67}= {res}     3,355
{txt}{col 1}{col 51}Wald chi2({res}30{txt}){col 67}= {res}    364.09
{txt}{col 1}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}{col 1}{col 51}R-squared{col 67}= {res}    0.0939
{txt}{col 51}Root MSE{col 67}=    {res} 2.1184

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     imbleco{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}rtrd {c |}{col 14}{res}{space 2}-.3397223{col 26}{space 2} .6354696{col 37}{space 1}   -0.53{col 46}{space 3}0.593{col 54}{space 4} -1.58522{col 67}{space 3} .9057752
{txt}{space 6}eduyrs {c |}{col 14}{res}{space 2} .0378513{col 26}{space 2} .0115182{col 37}{space 1}    3.29{col 46}{space 3}0.001{col 54}{space 4}  .015276{col 67}{space 3} .0604266
{txt}{space 8}agea {c |}{col 14}{res}{space 2} .0474921{col 26}{space 2} .2809601{col 37}{space 1}    0.17{col 46}{space 3}0.866{col 54}{space 4}-.5031795{col 67}{space 3} .5981637
{txt}{space 2}agesquared {c |}{col 14}{res}{space 2}-.0002159{col 26}{space 2} .0026234{col 37}{space 1}   -0.08{col 46}{space 3}0.934{col 54}{space 4}-.0053576{col 67}{space 3} .0049258
{txt}{space 4}hinctnta {c |}{col 14}{res}{space 2} .0287259{col 26}{space 2} .0187569{col 37}{space 1}    1.53{col 46}{space 3}0.126{col 54}{space 4} -.008037{col 67}{space 3} .0654888
{txt}{space 2}ever_child {c |}{col 14}{res}{space 2}-.2068586{col 26}{space 2} .1023581{col 37}{space 1}   -2.02{col 46}{space 3}0.043{col 54}{space 4}-.4074768{col 67}{space 3}-.0062404
{txt}{space 5}lrscale {c |}{col 14}{res}{space 2}-.1410059{col 26}{space 2} .0196916{col 37}{space 1}   -7.16{col 46}{space 3}0.000{col 54}{space 4}-.1796009{col 67}{space 3} -.102411
{txt}{space 5}brncntr {c |}{col 14}{res}{space 2} .8081259{col 26}{space 2} .1530945{col 37}{space 1}    5.28{col 46}{space 3}0.000{col 54}{space 4} .5080662{col 67}{space 3} 1.108186
{txt}{space 12} {c |}
{space 5}country {c |}
{space 9}BE  {c |}{col 14}{res}{space 2} .5175902{col 26}{space 2}  .215744{col 37}{space 1}    2.40{col 46}{space 3}0.016{col 54}{space 4} .0947397{col 67}{space 3} .9404407
{txt}{space 9}CH  {c |}{col 14}{res}{space 2} .6228362{col 26}{space 2} .2276603{col 37}{space 1}    2.74{col 46}{space 3}0.006{col 54}{space 4} .1766302{col 67}{space 3} 1.069042
{txt}{space 9}DE  {c |}{col 14}{res}{space 2} 1.162702{col 26}{space 2} .1876381{col 37}{space 1}    6.20{col 46}{space 3}0.000{col 54}{space 4} .7949385{col 67}{space 3} 1.530466
{txt}{space 9}DK  {c |}{col 14}{res}{space 2} 1.101785{col 26}{space 2} .2184475{col 37}{space 1}    5.04{col 46}{space 3}0.000{col 54}{space 4} .6736354{col 67}{space 3} 1.529934
{txt}{space 9}ES  {c |}{col 14}{res}{space 2} .2767736{col 26}{space 2} .2308472{col 37}{space 1}    1.20{col 46}{space 3}0.231{col 54}{space 4}-.1756786{col 67}{space 3} .7292257
{txt}{space 9}FI  {c |}{col 14}{res}{space 2}  .937494{col 26}{space 2}  .201274{col 37}{space 1}    4.66{col 46}{space 3}0.000{col 54}{space 4} .5430043{col 67}{space 3} 1.331984
{txt}{space 9}FR  {c |}{col 14}{res}{space 2}  .863218{col 26}{space 2} .2247481{col 37}{space 1}    3.84{col 46}{space 3}0.000{col 54}{space 4} .4227198{col 67}{space 3} 1.303716
{txt}{space 9}GB  {c |}{col 14}{res}{space 2} .5485757{col 26}{space 2} .2183828{col 37}{space 1}    2.51{col 46}{space 3}0.012{col 54}{space 4} .1205533{col 67}{space 3} .9765981
{txt}{space 9}IE  {c |}{col 14}{res}{space 2} .5594314{col 26}{space 2} .2319837{col 37}{space 1}    2.41{col 46}{space 3}0.016{col 54}{space 4} .1047516{col 67}{space 3} 1.014111
{txt}{space 9}NL  {c |}{col 14}{res}{space 2} .7764209{col 26}{space 2} .1994216{col 37}{space 1}    3.89{col 46}{space 3}0.000{col 54}{space 4} .3855618{col 67}{space 3}  1.16728
{txt}{space 9}NO  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 9}PT  {c |}{col 14}{res}{space 2} 1.586542{col 26}{space 2} .2631398{col 37}{space 1}    6.03{col 46}{space 3}0.000{col 54}{space 4} 1.070797{col 67}{space 3} 2.102286
{txt}{space 9}SE  {c |}{col 14}{res}{space 2} 1.377191{col 26}{space 2} .2345031{col 37}{space 1}    5.87{col 46}{space 3}0.000{col 54}{space 4} .9175735{col 67}{space 3} 1.836809
{txt}{space 12} {c |}
{space 4}iscoco10 {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .0101281{col 26}{space 2} .1320248{col 37}{space 1}    0.08{col 46}{space 3}0.939{col 54}{space 4}-.2486358{col 67}{space 3}  .268892
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.3860598{col 26}{space 2} .1318441{col 37}{space 1}   -2.93{col 46}{space 3}0.003{col 54}{space 4}-.6444696{col 67}{space 3}-.1276501
{txt}{space 10}4  {c |}{col 14}{res}{space 2} -.174159{col 26}{space 2} .1911865{col 37}{space 1}   -0.91{col 46}{space 3}0.362{col 54}{space 4}-.5488777{col 67}{space 3} .2005597
{txt}{space 10}5  {c |}{col 14}{res}{space 2}-.4598341{col 26}{space 2}  .173658{col 37}{space 1}   -2.65{col 46}{space 3}0.008{col 54}{space 4}-.8001976{col 67}{space 3}-.1194706
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.7488679{col 26}{space 2} .2476178{col 37}{space 1}   -3.02{col 46}{space 3}0.002{col 54}{space 4} -1.23419{col 67}{space 3}-.2635459
{txt}{space 10}7  {c |}{col 14}{res}{space 2}-.6358989{col 26}{space 2} .1464342{col 37}{space 1}   -4.34{col 46}{space 3}0.000{col 54}{space 4}-.9229045{col 67}{space 3}-.3488932
{txt}{space 10}8  {c |}{col 14}{res}{space 2}-.6958323{col 26}{space 2} .1639739{col 37}{space 1}   -4.24{col 46}{space 3}0.000{col 54}{space 4}-1.017215{col 67}{space 3}-.3744493
{txt}{space 10}9  {c |}{col 14}{res}{space 2}-.6082264{col 26}{space 2} .1957482{col 37}{space 1}   -3.11{col 46}{space 3}0.002{col 54}{space 4}-.9918858{col 67}{space 3} -.224567
{txt}{space 12} {c |}
{space 5}1.rural {c |}{col 14}{res}{space 2} .0094463{col 26}{space 2} .0784801{col 37}{space 1}    0.12{col 46}{space 3}0.904{col 54}{space 4}-.1443719{col 67}{space 3} .1632645
{txt}{space 3}1.married {c |}{col 14}{res}{space 2} .1020981{col 26}{space 2} .0912389{col 37}{space 1}    1.12{col 46}{space 3}0.263{col 54}{space 4}-.0767269{col 67}{space 3} .2809232
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 1.521401{col 26}{space 2} 7.665934{col 37}{space 1}    0.20{col 46}{space 3}0.843{col 54}{space 4}-13.50355{col 67}{space 3} 16.54636
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 15 26}Instrumented:{space 2}rtrd{p_end}
{p 0 15 26}Instruments:{space 3}eduyrs agea agesquared hinctnta ever_child lrscale brncntr 2.country 3.country 5.country 6.country 8.country 9.country 10.country 11.country 13.country 16.country 19.country 20.country 2.iscoco10 3.iscoco10 4.iscoco10 5.iscoco10 6.iscoco10 7.iscoco10 8.iscoco10 9.iscoco10 1.rural 1.married above_early above_full{p_end}

{com}. *w/o PT

. ivregress 2sls imbgeco (rtrd=above_early above_full) eduyrs agea agesquared hinctnta ever_child lrscale brncntr i.country i.iscoco10 i.rural i.married if cntry!="PT", robust 
{res}{txt}note: 19.country identifies no observations in the sample
{res}
{txt}{col 1}Instrumental variables (2SLS) regression{col 51}Number of obs{col 67}= {res}     3,490
{txt}{col 1}{col 51}Wald chi2({res}30{txt}){col 67}= {res}    736.79
{txt}{col 1}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}{col 1}{col 51}R-squared{col 67}= {res}    0.1643
{txt}{col 51}Root MSE{col 67}=    {res} 2.1719

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     imbgeco{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}rtrd {c |}{col 14}{res}{space 2}-.4871241{col 26}{space 2} .6229893{col 37}{space 1}   -0.78{col 46}{space 3}0.434{col 54}{space 4}-1.708161{col 67}{space 3} .7339125
{txt}{space 6}eduyrs {c |}{col 14}{res}{space 2} .0778773{col 26}{space 2} .0118109{col 37}{space 1}    6.59{col 46}{space 3}0.000{col 54}{space 4} .0547283{col 67}{space 3} .1010263
{txt}{space 8}agea {c |}{col 14}{res}{space 2} .1614621{col 26}{space 2} .2824631{col 37}{space 1}    0.57{col 46}{space 3}0.568{col 54}{space 4}-.3921555{col 67}{space 3} .7150797
{txt}{space 2}agesquared {c |}{col 14}{res}{space 2}-.0010561{col 26}{space 2} .0026218{col 37}{space 1}   -0.40{col 46}{space 3}0.687{col 54}{space 4}-.0061946{col 67}{space 3} .0040825
{txt}{space 4}hinctnta {c |}{col 14}{res}{space 2} .0678021{col 26}{space 2} .0199144{col 37}{space 1}    3.40{col 46}{space 3}0.001{col 54}{space 4} .0287707{col 67}{space 3} .1068335
{txt}{space 2}ever_child {c |}{col 14}{res}{space 2}-.0665206{col 26}{space 2}  .100176{col 37}{space 1}   -0.66{col 46}{space 3}0.507{col 54}{space 4}-.2628618{col 67}{space 3} .1298207
{txt}{space 5}lrscale {c |}{col 14}{res}{space 2}-.1231279{col 26}{space 2} .0198766{col 37}{space 1}   -6.19{col 46}{space 3}0.000{col 54}{space 4}-.1620853{col 67}{space 3}-.0841705
{txt}{space 5}brncntr {c |}{col 14}{res}{space 2} .6404453{col 26}{space 2}  .157344{col 37}{space 1}    4.07{col 46}{space 3}0.000{col 54}{space 4} .3320567{col 67}{space 3} .9488338
{txt}{space 12} {c |}
{space 5}country {c |}
{space 9}BE  {c |}{col 14}{res}{space 2}-.4154575{col 26}{space 2} .2254345{col 37}{space 1}   -1.84{col 46}{space 3}0.065{col 54}{space 4} -.857301{col 67}{space 3}  .026386
{txt}{space 9}CH  {c |}{col 14}{res}{space 2}   1.2204{col 26}{space 2} .2268271{col 37}{space 1}    5.38{col 46}{space 3}0.000{col 54}{space 4}  .775827{col 67}{space 3} 1.664973
{txt}{space 9}DE  {c |}{col 14}{res}{space 2} .7385664{col 26}{space 2} .1985005{col 37}{space 1}    3.72{col 46}{space 3}0.000{col 54}{space 4} .3495125{col 67}{space 3}  1.12762
{txt}{space 9}DK  {c |}{col 14}{res}{space 2} .1661022{col 26}{space 2} .2342425{col 37}{space 1}    0.71{col 46}{space 3}0.478{col 54}{space 4}-.2930047{col 67}{space 3} .6252091
{txt}{space 9}ES  {c |}{col 14}{res}{space 2} .7178097{col 26}{space 2} .2492569{col 37}{space 1}    2.88{col 46}{space 3}0.004{col 54}{space 4} .2292752{col 67}{space 3} 1.206344
{txt}{space 9}FI  {c |}{col 14}{res}{space 2} .5447191{col 26}{space 2} .2092454{col 37}{space 1}    2.60{col 46}{space 3}0.009{col 54}{space 4} .1346057{col 67}{space 3} .9548325
{txt}{space 9}FR  {c |}{col 14}{res}{space 2}-.1430531{col 26}{space 2} .2296642{col 37}{space 1}   -0.62{col 46}{space 3}0.533{col 54}{space 4}-.5931865{col 67}{space 3} .3070804
{txt}{space 9}GB  {c |}{col 14}{res}{space 2}-.2486603{col 26}{space 2}  .223379{col 37}{space 1}   -1.11{col 46}{space 3}0.266{col 54}{space 4}-.6864752{col 67}{space 3} .1891545
{txt}{space 9}IE  {c |}{col 14}{res}{space 2} .1088459{col 26}{space 2} .2391857{col 37}{space 1}    0.46{col 46}{space 3}0.649{col 54}{space 4}-.3599495{col 67}{space 3} .5776412
{txt}{space 9}NL  {c |}{col 14}{res}{space 2}-.1631757{col 26}{space 2} .2126031{col 37}{space 1}   -0.77{col 46}{space 3}0.443{col 54}{space 4}-.5798702{col 67}{space 3} .2535188
{txt}{space 9}NO  {c |}{col 14}{res}{space 2} .5894692{col 26}{space 2} .2337721{col 37}{space 1}    2.52{col 46}{space 3}0.012{col 54}{space 4} .1312842{col 67}{space 3} 1.047654
{txt}{space 9}PT  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 9}SE  {c |}{col 14}{res}{space 2} .1726681{col 26}{space 2}  .243337{col 37}{space 1}    0.71{col 46}{space 3}0.478{col 54}{space 4}-.3042637{col 67}{space 3} .6495999
{txt}{space 12} {c |}
{space 4}iscoco10 {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0609994{col 26}{space 2} .1258452{col 37}{space 1}   -0.48{col 46}{space 3}0.628{col 54}{space 4}-.3076514{col 67}{space 3} .1856526
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.2912301{col 26}{space 2} .1302292{col 37}{space 1}   -2.24{col 46}{space 3}0.025{col 54}{space 4}-.5464746{col 67}{space 3}-.0359855
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.5016473{col 26}{space 2} .1898399{col 37}{space 1}   -2.64{col 46}{space 3}0.008{col 54}{space 4}-.8737268{col 67}{space 3}-.1295679
{txt}{space 10}5  {c |}{col 14}{res}{space 2}-.8307878{col 26}{space 2} .1799526{col 37}{space 1}   -4.62{col 46}{space 3}0.000{col 54}{space 4}-1.183488{col 67}{space 3}-.4780872
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.9679861{col 26}{space 2} .2291948{col 37}{space 1}   -4.22{col 46}{space 3}0.000{col 54}{space 4}  -1.4172{col 67}{space 3}-.5187725
{txt}{space 10}7  {c |}{col 14}{res}{space 2}-.9939862{col 26}{space 2} .1451676{col 37}{space 1}   -6.85{col 46}{space 3}0.000{col 54}{space 4}-1.278509{col 67}{space 3} -.709463
{txt}{space 10}8  {c |}{col 14}{res}{space 2}-1.275961{col 26}{space 2} .1670431{col 37}{space 1}   -7.64{col 46}{space 3}0.000{col 54}{space 4}-1.603359{col 67}{space 3} -.948562
{txt}{space 10}9  {c |}{col 14}{res}{space 2}-.9691899{col 26}{space 2}   .20544{col 37}{space 1}   -4.72{col 46}{space 3}0.000{col 54}{space 4}-1.371845{col 67}{space 3} -.566535
{txt}{space 12} {c |}
{space 5}1.rural {c |}{col 14}{res}{space 2}-.1483276{col 26}{space 2} .0791044{col 37}{space 1}   -1.88{col 46}{space 3}0.061{col 54}{space 4}-.3033694{col 67}{space 3} .0067141
{txt}{space 3}1.married {c |}{col 14}{res}{space 2}-.0127692{col 26}{space 2} .0889082{col 37}{space 1}   -0.14{col 46}{space 3}0.886{col 54}{space 4}-.1870261{col 67}{space 3} .1614877
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-1.323361{col 26}{space 2} 7.757282{col 37}{space 1}   -0.17{col 46}{space 3}0.865{col 54}{space 4}-16.52735{col 67}{space 3} 13.88063
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 15 26}Instrumented:{space 2}rtrd{p_end}
{p 0 15 26}Instruments:{space 3}eduyrs agea agesquared hinctnta ever_child lrscale brncntr 2.country 3.country 5.country 6.country 8.country 9.country 10.country 11.country 13.country 16.country 17.country 20.country 2.iscoco10 3.iscoco10 4.iscoco10 5.iscoco10 6.iscoco10 7.iscoco10 8.iscoco10 9.iscoco10 1.rural 1.married above_early above_full{p_end}

{com}. ivregress 2sls imtcjob (rtrd=above_early above_full) eduyrs agea agesquared hinctnta ever_child lrscale brncntr i.country i.iscoco10 i.rural i.married if cntry!="PT", robust 
{res}{txt}note: 19.country identifies no observations in the sample
{res}
{txt}{col 1}Instrumental variables (2SLS) regression{col 51}Number of obs{col 67}= {res}     3,481
{txt}{col 1}{col 51}Wald chi2({res}30{txt}){col 67}= {res}    511.80
{txt}{col 1}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}{col 1}{col 51}R-squared{col 67}= {res}    0.1302
{txt}{col 51}Root MSE{col 67}=    {res}  2.017

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     imtcjob{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}rtrd {c |}{col 14}{res}{space 2}-.3904727{col 26}{space 2} .6131384{col 37}{space 1}   -0.64{col 46}{space 3}0.524{col 54}{space 4}-1.592202{col 67}{space 3} .8112566
{txt}{space 6}eduyrs {c |}{col 14}{res}{space 2} .0497431{col 26}{space 2} .0104596{col 37}{space 1}    4.76{col 46}{space 3}0.000{col 54}{space 4} .0292426{col 67}{space 3} .0702435
{txt}{space 8}agea {c |}{col 14}{res}{space 2}-.0091774{col 26}{space 2} .2737455{col 37}{space 1}   -0.03{col 46}{space 3}0.973{col 54}{space 4}-.5457088{col 67}{space 3}  .527354
{txt}{space 2}agesquared {c |}{col 14}{res}{space 2}  .000247{col 26}{space 2} .0025475{col 37}{space 1}    0.10{col 46}{space 3}0.923{col 54}{space 4}-.0047461{col 67}{space 3}   .00524
{txt}{space 4}hinctnta {c |}{col 14}{res}{space 2} .0301998{col 26}{space 2} .0186597{col 37}{space 1}    1.62{col 46}{space 3}0.106{col 54}{space 4}-.0063724{col 67}{space 3} .0667721
{txt}{space 2}ever_child {c |}{col 14}{res}{space 2}-.0158597{col 26}{space 2} .0952554{col 37}{space 1}   -0.17{col 46}{space 3}0.868{col 54}{space 4}-.2025568{col 67}{space 3} .1708374
{txt}{space 5}lrscale {c |}{col 14}{res}{space 2}-.0378393{col 26}{space 2} .0183224{col 37}{space 1}   -2.07{col 46}{space 3}0.039{col 54}{space 4}-.0737506{col 67}{space 3} -.001928
{txt}{space 5}brncntr {c |}{col 14}{res}{space 2} .5347417{col 26}{space 2} .1479345{col 37}{space 1}    3.61{col 46}{space 3}0.000{col 54}{space 4} .2447955{col 67}{space 3}  .824688
{txt}{space 12} {c |}
{space 5}country {c |}
{space 9}BE  {c |}{col 14}{res}{space 2} .1156865{col 26}{space 2}   .21395{col 37}{space 1}    0.54{col 46}{space 3}0.589{col 54}{space 4}-.3036478{col 67}{space 3} .5350207
{txt}{space 9}CH  {c |}{col 14}{res}{space 2} .9912926{col 26}{space 2} .2165729{col 37}{space 1}    4.58{col 46}{space 3}0.000{col 54}{space 4} .5668175{col 67}{space 3} 1.415768
{txt}{space 9}DE  {c |}{col 14}{res}{space 2} 1.181148{col 26}{space 2} .1863745{col 37}{space 1}    6.34{col 46}{space 3}0.000{col 54}{space 4} .8158606{col 67}{space 3} 1.546435
{txt}{space 9}DK  {c |}{col 14}{res}{space 2} .9440376{col 26}{space 2} .2109397{col 37}{space 1}    4.48{col 46}{space 3}0.000{col 54}{space 4} .5306034{col 67}{space 3} 1.357472
{txt}{space 9}ES  {c |}{col 14}{res}{space 2} .3611292{col 26}{space 2} .2469823{col 37}{space 1}    1.46{col 46}{space 3}0.144{col 54}{space 4}-.1229473{col 67}{space 3} .8452056
{txt}{space 9}FI  {c |}{col 14}{res}{space 2} 1.155889{col 26}{space 2} .1952088{col 37}{space 1}    5.92{col 46}{space 3}0.000{col 54}{space 4} .7732867{col 67}{space 3} 1.538491
{txt}{space 9}FR  {c |}{col 14}{res}{space 2} .6480096{col 26}{space 2} .2245198{col 37}{space 1}    2.89{col 46}{space 3}0.004{col 54}{space 4} .2079589{col 67}{space 3}  1.08806
{txt}{space 9}GB  {c |}{col 14}{res}{space 2} .2497173{col 26}{space 2} .2146131{col 37}{space 1}    1.16{col 46}{space 3}0.245{col 54}{space 4}-.1709167{col 67}{space 3} .6703513
{txt}{space 9}IE  {c |}{col 14}{res}{space 2} .0549638{col 26}{space 2} .2239006{col 37}{space 1}    0.25{col 46}{space 3}0.806{col 54}{space 4}-.3838734{col 67}{space 3}  .493801
{txt}{space 9}NL  {c |}{col 14}{res}{space 2} .3718005{col 26}{space 2} .1975898{col 37}{space 1}    1.88{col 46}{space 3}0.060{col 54}{space 4}-.0154684{col 67}{space 3} .7590694
{txt}{space 9}NO  {c |}{col 14}{res}{space 2} 1.513918{col 26}{space 2} .2181427{col 37}{space 1}    6.94{col 46}{space 3}0.000{col 54}{space 4} 1.086366{col 67}{space 3} 1.941469
{txt}{space 9}PT  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 9}SE  {c |}{col 14}{res}{space 2} 1.637863{col 26}{space 2} .2217823{col 37}{space 1}    7.39{col 46}{space 3}0.000{col 54}{space 4} 1.203178{col 67}{space 3} 2.072549
{txt}{space 12} {c |}
{space 4}iscoco10 {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0765845{col 26}{space 2} .1113958{col 37}{space 1}   -0.69{col 46}{space 3}0.492{col 54}{space 4}-.2949164{col 67}{space 3} .1417473
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.2327487{col 26}{space 2} .1177798{col 37}{space 1}   -1.98{col 46}{space 3}0.048{col 54}{space 4}-.4635929{col 67}{space 3}-.0019045
{txt}{space 10}4  {c |}{col 14}{res}{space 2} -.237361{col 26}{space 2} .1655428{col 37}{space 1}   -1.43{col 46}{space 3}0.152{col 54}{space 4} -.561819{col 67}{space 3} .0870969
{txt}{space 10}5  {c |}{col 14}{res}{space 2} -.657461{col 26}{space 2} .1590782{col 37}{space 1}   -4.13{col 46}{space 3}0.000{col 54}{space 4}-.9692485{col 67}{space 3}-.3456735
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.7179035{col 26}{space 2} .2372168{col 37}{space 1}   -3.03{col 46}{space 3}0.002{col 54}{space 4} -1.18284{col 67}{space 3}-.2529671
{txt}{space 10}7  {c |}{col 14}{res}{space 2}-.7196441{col 26}{space 2} .1341641{col 37}{space 1}   -5.36{col 46}{space 3}0.000{col 54}{space 4} -.982601{col 67}{space 3}-.4566872
{txt}{space 10}8  {c |}{col 14}{res}{space 2}-.7975122{col 26}{space 2}  .152104{col 37}{space 1}   -5.24{col 46}{space 3}0.000{col 54}{space 4}-1.095631{col 67}{space 3}-.4993939
{txt}{space 10}9  {c |}{col 14}{res}{space 2}-.8266875{col 26}{space 2} .1907365{col 37}{space 1}   -4.33{col 46}{space 3}0.000{col 54}{space 4}-1.200524{col 67}{space 3}-.4528508
{txt}{space 12} {c |}
{space 5}1.rural {c |}{col 14}{res}{space 2} -.150976{col 26}{space 2} .0754116{col 37}{space 1}   -2.00{col 46}{space 3}0.045{col 54}{space 4}-.2987799{col 67}{space 3} -.003172
{txt}{space 3}1.married {c |}{col 14}{res}{space 2}-.0150326{col 26}{space 2} .0840382{col 37}{space 1}   -0.18{col 46}{space 3}0.858{col 54}{space 4}-.1797445{col 67}{space 3} .1496792
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 3.559883{col 26}{space 2}  7.49298{col 37}{space 1}    0.48{col 46}{space 3}0.635{col 54}{space 4}-11.12609{col 67}{space 3} 18.24585
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 15 26}Instrumented:{space 2}rtrd{p_end}
{p 0 15 26}Instruments:{space 3}eduyrs agea agesquared hinctnta ever_child lrscale brncntr 2.country 3.country 5.country 6.country 8.country 9.country 10.country 11.country 13.country 16.country 17.country 20.country 2.iscoco10 3.iscoco10 4.iscoco10 5.iscoco10 6.iscoco10 7.iscoco10 8.iscoco10 9.iscoco10 1.rural 1.married above_early above_full{p_end}

{com}. ivregress 2sls imbleco (rtrd=above_early above_full) eduyrs agea agesquared hinctnta ever_child lrscale brncntr i.country i.iscoco10 i.rural i.married if cntry!="PT", robust 
{res}{txt}note: 19.country identifies no observations in the sample
{res}
{txt}{col 1}Instrumental variables (2SLS) regression{col 51}Number of obs{col 67}= {res}     3,473
{txt}{col 1}{col 51}Wald chi2({res}30{txt}){col 67}= {res}    398.53
{txt}{col 1}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}{col 1}{col 51}R-squared{col 67}= {res}    0.0953
{txt}{col 51}Root MSE{col 67}=    {res} 2.0984

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     imbleco{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}rtrd {c |}{col 14}{res}{space 2}-.4806339{col 26}{space 2} .6246675{col 37}{space 1}   -0.77{col 46}{space 3}0.442{col 54}{space 4} -1.70496{col 67}{space 3} .7436919
{txt}{space 6}eduyrs {c |}{col 14}{res}{space 2} .0433807{col 26}{space 2} .0112139{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0214019{col 67}{space 3} .0653595
{txt}{space 8}agea {c |}{col 14}{res}{space 2} .0399302{col 26}{space 2}  .281026{col 37}{space 1}    0.14{col 46}{space 3}0.887{col 54}{space 4}-.5108707{col 67}{space 3} .5907312
{txt}{space 2}agesquared {c |}{col 14}{res}{space 2}-.0000754{col 26}{space 2} .0026125{col 37}{space 1}   -0.03{col 46}{space 3}0.977{col 54}{space 4}-.0051957{col 67}{space 3} .0050449
{txt}{space 4}hinctnta {c |}{col 14}{res}{space 2} .0276929{col 26}{space 2} .0191679{col 37}{space 1}    1.44{col 46}{space 3}0.149{col 54}{space 4}-.0098755{col 67}{space 3} .0652613
{txt}{space 2}ever_child {c |}{col 14}{res}{space 2}-.2440848{col 26}{space 2} .0995386{col 37}{space 1}   -2.45{col 46}{space 3}0.014{col 54}{space 4}-.4391768{col 67}{space 3}-.0489927
{txt}{space 5}lrscale {c |}{col 14}{res}{space 2}-.1473499{col 26}{space 2} .0189531{col 37}{space 1}   -7.77{col 46}{space 3}0.000{col 54}{space 4}-.1844973{col 67}{space 3}-.1102025
{txt}{space 5}brncntr {c |}{col 14}{res}{space 2} .7279439{col 26}{space 2} .1504645{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4}  .433039{col 67}{space 3} 1.022849
{txt}{space 12} {c |}
{space 5}country {c |}
{space 9}BE  {c |}{col 14}{res}{space 2} .5191152{col 26}{space 2} .2158045{col 37}{space 1}    2.41{col 46}{space 3}0.016{col 54}{space 4} .0961463{col 67}{space 3} .9420842
{txt}{space 9}CH  {c |}{col 14}{res}{space 2} .6346014{col 26}{space 2}  .226871{col 37}{space 1}    2.80{col 46}{space 3}0.005{col 54}{space 4} .1899425{col 67}{space 3}  1.07926
{txt}{space 9}DE  {c |}{col 14}{res}{space 2} 1.149176{col 26}{space 2} .1874699{col 37}{space 1}    6.13{col 46}{space 3}0.000{col 54}{space 4} .7817413{col 67}{space 3}  1.51661
{txt}{space 9}DK  {c |}{col 14}{res}{space 2} 1.102518{col 26}{space 2} .2181591{col 37}{space 1}    5.05{col 46}{space 3}0.000{col 54}{space 4}  .674934{col 67}{space 3} 1.530102
{txt}{space 9}ES  {c |}{col 14}{res}{space 2} .2642779{col 26}{space 2} .2306243{col 37}{space 1}    1.15{col 46}{space 3}0.252{col 54}{space 4}-.1877374{col 67}{space 3} .7162932
{txt}{space 9}FI  {c |}{col 14}{res}{space 2} .9420389{col 26}{space 2} .2012556{col 37}{space 1}    4.68{col 46}{space 3}0.000{col 54}{space 4} .5475851{col 67}{space 3} 1.336493
{txt}{space 9}FR  {c |}{col 14}{res}{space 2} .8893001{col 26}{space 2} .2248196{col 37}{space 1}    3.96{col 46}{space 3}0.000{col 54}{space 4} .4486618{col 67}{space 3} 1.329938
{txt}{space 9}GB  {c |}{col 14}{res}{space 2} .5444107{col 26}{space 2} .2181756{col 37}{space 1}    2.50{col 46}{space 3}0.013{col 54}{space 4} .1167943{col 67}{space 3} .9720271
{txt}{space 9}IE  {c |}{col 14}{res}{space 2} .5533312{col 26}{space 2} .2323232{col 37}{space 1}    2.38{col 46}{space 3}0.017{col 54}{space 4} .0979862{col 67}{space 3} 1.008676
{txt}{space 9}NL  {c |}{col 14}{res}{space 2} .7580976{col 26}{space 2} .1985233{col 37}{space 1}    3.82{col 46}{space 3}0.000{col 54}{space 4} .3689991{col 67}{space 3} 1.147196
{txt}{space 9}NO  {c |}{col 14}{res}{space 2} 1.151365{col 26}{space 2} .2214115{col 37}{space 1}    5.20{col 46}{space 3}0.000{col 54}{space 4} .7174061{col 67}{space 3} 1.585323
{txt}{space 9}PT  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 9}SE  {c |}{col 14}{res}{space 2} 1.364958{col 26}{space 2} .2320034{col 37}{space 1}    5.88{col 46}{space 3}0.000{col 54}{space 4} .9102395{col 67}{space 3} 1.819676
{txt}{space 12} {c |}
{space 4}iscoco10 {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0036272{col 26}{space 2} .1262525{col 37}{space 1}   -0.03{col 46}{space 3}0.977{col 54}{space 4}-.2510775{col 67}{space 3} .2438231
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.3666934{col 26}{space 2} .1259743{col 37}{space 1}   -2.91{col 46}{space 3}0.004{col 54}{space 4}-.6135985{col 67}{space 3}-.1197883
{txt}{space 10}4  {c |}{col 14}{res}{space 2} -.170384{col 26}{space 2}  .184266{col 37}{space 1}   -0.92{col 46}{space 3}0.355{col 54}{space 4}-.5315388{col 67}{space 3} .1907708
{txt}{space 10}5  {c |}{col 14}{res}{space 2}-.4920691{col 26}{space 2} .1672266{col 37}{space 1}   -2.94{col 46}{space 3}0.003{col 54}{space 4}-.8198271{col 67}{space 3} -.164311
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.8669376{col 26}{space 2} .2358669{col 37}{space 1}   -3.68{col 46}{space 3}0.000{col 54}{space 4}-1.329228{col 67}{space 3} -.404647
{txt}{space 10}7  {c |}{col 14}{res}{space 2}-.6302957{col 26}{space 2} .1412352{col 37}{space 1}   -4.46{col 46}{space 3}0.000{col 54}{space 4}-.9071117{col 67}{space 3}-.3534797
{txt}{space 10}8  {c |}{col 14}{res}{space 2}-.6349099{col 26}{space 2} .1587766{col 37}{space 1}   -4.00{col 46}{space 3}0.000{col 54}{space 4}-.9461064{col 67}{space 3}-.3237134
{txt}{space 10}9  {c |}{col 14}{res}{space 2}-.6004576{col 26}{space 2} .1940593{col 37}{space 1}   -3.09{col 46}{space 3}0.002{col 54}{space 4}-.9808067{col 67}{space 3}-.2201084
{txt}{space 12} {c |}
{space 5}1.rural {c |}{col 14}{res}{space 2} .0391148{col 26}{space 2} .0765174{col 37}{space 1}    0.51{col 46}{space 3}0.609{col 54}{space 4}-.1108565{col 67}{space 3} .1890861
{txt}{space 3}1.married {c |}{col 14}{res}{space 2} .1280354{col 26}{space 2}  .088708{col 37}{space 1}    1.44{col 46}{space 3}0.149{col 54}{space 4} -.045829{col 67}{space 3} .3018998
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 1.568232{col 26}{space 2} 7.709606{col 37}{space 1}    0.20{col 46}{space 3}0.839{col 54}{space 4}-13.54232{col 67}{space 3} 16.67878
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 15 26}Instrumented:{space 2}rtrd{p_end}
{p 0 15 26}Instruments:{space 3}eduyrs agea agesquared hinctnta ever_child lrscale brncntr 2.country 3.country 5.country 6.country 8.country 9.country 10.country 11.country 13.country 16.country 17.country 20.country 2.iscoco10 3.iscoco10 4.iscoco10 5.iscoco10 6.iscoco10 7.iscoco10 8.iscoco10 9.iscoco10 1.rural 1.married above_early above_full{p_end}

{com}. *w/o ES

. ivregress 2sls imbgeco (rtrd=above_early above_full) eduyrs agea agesquared hinctnta ever_child lrscale brncntr i.country i.iscoco10 i.rural i.married if cntry!="ES", robust 
{res}{txt}note: 8.country identifies no observations in the sample
{res}
{txt}{col 1}Instrumental variables (2SLS) regression{col 51}Number of obs{col 67}= {res}     3,431
{txt}{col 1}{col 51}Wald chi2({res}30{txt}){col 67}= {res}    719.89
{txt}{col 1}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}{col 1}{col 51}R-squared{col 67}= {res}    0.1607
{txt}{col 51}Root MSE{col 67}=    {res}  2.181

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     imbgeco{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}rtrd {c |}{col 14}{res}{space 2} -.649216{col 26}{space 2} .6390298{col 37}{space 1}   -1.02{col 46}{space 3}0.310{col 54}{space 4}-1.901691{col 67}{space 3} .6032594
{txt}{space 6}eduyrs {c |}{col 14}{res}{space 2}  .073646{col 26}{space 2} .0121742{col 37}{space 1}    6.05{col 46}{space 3}0.000{col 54}{space 4}  .049785{col 67}{space 3}  .097507
{txt}{space 8}agea {c |}{col 14}{res}{space 2}  .107055{col 26}{space 2} .2781172{col 37}{space 1}    0.38{col 46}{space 3}0.700{col 54}{space 4}-.4380446{col 67}{space 3} .6521546
{txt}{space 2}agesquared {c |}{col 14}{res}{space 2}-.0005193{col 26}{space 2} .0025905{col 37}{space 1}   -0.20{col 46}{space 3}0.841{col 54}{space 4}-.0055966{col 67}{space 3}  .004558
{txt}{space 4}hinctnta {c |}{col 14}{res}{space 2} .0635205{col 26}{space 2} .0202946{col 37}{space 1}    3.13{col 46}{space 3}0.002{col 54}{space 4} .0237439{col 67}{space 3} .1032972
{txt}{space 2}ever_child {c |}{col 14}{res}{space 2}-.0746444{col 26}{space 2} .1007897{col 37}{space 1}   -0.74{col 46}{space 3}0.459{col 54}{space 4}-.2721887{col 67}{space 3} .1228998
{txt}{space 5}lrscale {c |}{col 14}{res}{space 2}-.1333296{col 26}{space 2}  .019925{col 37}{space 1}   -6.69{col 46}{space 3}0.000{col 54}{space 4}-.1723818{col 67}{space 3}-.0942773
{txt}{space 5}brncntr {c |}{col 14}{res}{space 2} .6219964{col 26}{space 2} .1592836{col 37}{space 1}    3.90{col 46}{space 3}0.000{col 54}{space 4} .3098063{col 67}{space 3} .9341865
{txt}{space 12} {c |}
{space 5}country {c |}
{space 9}BE  {c |}{col 14}{res}{space 2}-.4072464{col 26}{space 2} .2251821{col 37}{space 1}   -1.81{col 46}{space 3}0.071{col 54}{space 4}-.8485953{col 67}{space 3} .0341024
{txt}{space 9}CH  {c |}{col 14}{res}{space 2} 1.196647{col 26}{space 2} .2268642{col 37}{space 1}    5.27{col 46}{space 3}0.000{col 54}{space 4} .7520009{col 67}{space 3} 1.641292
{txt}{space 9}DE  {c |}{col 14}{res}{space 2} .7443356{col 26}{space 2} .1980551{col 37}{space 1}    3.76{col 46}{space 3}0.000{col 54}{space 4} .3561547{col 67}{space 3} 1.132517
{txt}{space 9}DK  {c |}{col 14}{res}{space 2} .1814931{col 26}{space 2} .2339471{col 37}{space 1}    0.78{col 46}{space 3}0.438{col 54}{space 4}-.2770349{col 67}{space 3} .6400211
{txt}{space 9}ES  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 9}FI  {c |}{col 14}{res}{space 2} .5514623{col 26}{space 2} .2089215{col 37}{space 1}    2.64{col 46}{space 3}0.008{col 54}{space 4} .1419837{col 67}{space 3} .9609409
{txt}{space 9}FR  {c |}{col 14}{res}{space 2}-.1202856{col 26}{space 2} .2294217{col 37}{space 1}   -0.52{col 46}{space 3}0.600{col 54}{space 4}-.5699439{col 67}{space 3} .3293728
{txt}{space 9}GB  {c |}{col 14}{res}{space 2}-.2428625{col 26}{space 2}  .223027{col 37}{space 1}   -1.09{col 46}{space 3}0.276{col 54}{space 4}-.6799874{col 67}{space 3} .1942623
{txt}{space 9}IE  {c |}{col 14}{res}{space 2} .0983145{col 26}{space 2} .2388438{col 37}{space 1}    0.41{col 46}{space 3}0.681{col 54}{space 4}-.3698107{col 67}{space 3} .5664398
{txt}{space 9}NL  {c |}{col 14}{res}{space 2} -.168617{col 26}{space 2} .2122599{col 37}{space 1}   -0.79{col 46}{space 3}0.427{col 54}{space 4}-.5846389{col 67}{space 3} .2474049
{txt}{space 9}NO  {c |}{col 14}{res}{space 2} .5661647{col 26}{space 2} .2337743{col 37}{space 1}    2.42{col 46}{space 3}0.015{col 54}{space 4} .1079754{col 67}{space 3} 1.024354
{txt}{space 9}PT  {c |}{col 14}{res}{space 2} .6464673{col 26}{space 2} .2890771{col 37}{space 1}    2.24{col 46}{space 3}0.025{col 54}{space 4} .0798867{col 67}{space 3} 1.213048
{txt}{space 9}SE  {c |}{col 14}{res}{space 2} .1584909{col 26}{space 2} .2441115{col 37}{space 1}    0.65{col 46}{space 3}0.516{col 54}{space 4}-.3199589{col 67}{space 3} .6369406
{txt}{space 12} {c |}
{space 4}iscoco10 {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0258621{col 26}{space 2}  .126831{col 37}{space 1}   -0.20{col 46}{space 3}0.838{col 54}{space 4}-.2744462{col 67}{space 3} .2227221
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.3358246{col 26}{space 2} .1331694{col 37}{space 1}   -2.52{col 46}{space 3}0.012{col 54}{space 4}-.5968318{col 67}{space 3}-.0748175
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.5066078{col 26}{space 2} .1929677{col 37}{space 1}   -2.63{col 46}{space 3}0.009{col 54}{space 4}-.8848176{col 67}{space 3}-.1283981
{txt}{space 10}5  {c |}{col 14}{res}{space 2}-.8034365{col 26}{space 2} .1836033{col 37}{space 1}   -4.38{col 46}{space 3}0.000{col 54}{space 4}-1.163292{col 67}{space 3}-.4435805
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-1.040542{col 26}{space 2} .2354902{col 37}{space 1}   -4.42{col 46}{space 3}0.000{col 54}{space 4}-1.502095{col 67}{space 3}-.5789901
{txt}{space 10}7  {c |}{col 14}{res}{space 2}-1.030062{col 26}{space 2} .1473213{col 37}{space 1}   -6.99{col 46}{space 3}0.000{col 54}{space 4}-1.318806{col 67}{space 3}-.7413173
{txt}{space 10}8  {c |}{col 14}{res}{space 2}-1.307623{col 26}{space 2} .1701127{col 37}{space 1}   -7.69{col 46}{space 3}0.000{col 54}{space 4}-1.641038{col 67}{space 3}-.9742082
{txt}{space 10}9  {c |}{col 14}{res}{space 2}-1.017365{col 26}{space 2} .2091823{col 37}{space 1}   -4.86{col 46}{space 3}0.000{col 54}{space 4}-1.427355{col 67}{space 3}-.6073751
{txt}{space 12} {c |}
{space 5}1.rural {c |}{col 14}{res}{space 2}-.0935611{col 26}{space 2} .0798531{col 37}{space 1}   -1.17{col 46}{space 3}0.241{col 54}{space 4}-.2500703{col 67}{space 3} .0629482
{txt}{space 3}1.married {c |}{col 14}{res}{space 2}-.0280239{col 26}{space 2} .0897655{col 37}{space 1}   -0.31{col 46}{space 3}0.755{col 54}{space 4}-.2039611{col 67}{space 3} .1479132
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .2112926{col 26}{space 2} 7.628152{col 37}{space 1}    0.03{col 46}{space 3}0.978{col 54}{space 4}-14.73961{col 67}{space 3}  15.1622
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 15 26}Instrumented:{space 2}rtrd{p_end}
{p 0 15 26}Instruments:{space 3}eduyrs agea agesquared hinctnta ever_child lrscale brncntr 2.country 3.country 5.country 6.country 9.country 10.country 11.country 13.country 16.country 17.country 19.country 20.country 2.iscoco10 3.iscoco10 4.iscoco10 5.iscoco10 6.iscoco10 7.iscoco10 8.iscoco10 9.iscoco10 1.rural 1.married above_early above_full{p_end}

{com}. ivregress 2sls imtcjob (rtrd=above_early above_full) eduyrs agea agesquared hinctnta ever_child lrscale brncntr i.country i.iscoco10 i.rural i.married if cntry!="ES", robust 
{res}{txt}note: 8.country identifies no observations in the sample
{res}
{txt}{col 1}Instrumental variables (2SLS) regression{col 51}Number of obs{col 67}= {res}     3,420
{txt}{col 1}{col 51}Wald chi2({res}30{txt}){col 67}= {res}    461.24
{txt}{col 1}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}{col 1}{col 51}R-squared{col 67}= {res}    0.1237
{txt}{col 51}Root MSE{col 67}=    {res} 2.0094

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     imtcjob{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}rtrd {c |}{col 14}{res}{space 2}-.3545568{col 26}{space 2} .6268965{col 37}{space 1}   -0.57{col 46}{space 3}0.572{col 54}{space 4}-1.583251{col 67}{space 3} .8741377
{txt}{space 6}eduyrs {c |}{col 14}{res}{space 2} .0458246{col 26}{space 2} .0110345{col 37}{space 1}    4.15{col 46}{space 3}0.000{col 54}{space 4} .0241974{col 67}{space 3} .0674518
{txt}{space 8}agea {c |}{col 14}{res}{space 2} .0424041{col 26}{space 2} .2685342{col 37}{space 1}    0.16{col 46}{space 3}0.875{col 54}{space 4}-.4839132{col 67}{space 3} .5687215
{txt}{space 2}agesquared {c |}{col 14}{res}{space 2}-.0001979{col 26}{space 2} .0025084{col 37}{space 1}   -0.08{col 46}{space 3}0.937{col 54}{space 4}-.0051143{col 67}{space 3} .0047185
{txt}{space 4}hinctnta {c |}{col 14}{res}{space 2} .0229109{col 26}{space 2} .0186437{col 37}{space 1}    1.23{col 46}{space 3}0.219{col 54}{space 4}  -.01363{col 67}{space 3} .0594519
{txt}{space 2}ever_child {c |}{col 14}{res}{space 2} .0346324{col 26}{space 2} .0957498{col 37}{space 1}    0.36{col 46}{space 3}0.718{col 54}{space 4}-.1530338{col 67}{space 3} .2222986
{txt}{space 5}lrscale {c |}{col 14}{res}{space 2}-.0390261{col 26}{space 2} .0182654{col 37}{space 1}   -2.14{col 46}{space 3}0.033{col 54}{space 4}-.0748256{col 67}{space 3}-.0032266
{txt}{space 5}brncntr {c |}{col 14}{res}{space 2} .5463022{col 26}{space 2} .1472964{col 37}{space 1}    3.71{col 46}{space 3}0.000{col 54}{space 4} .2576066{col 67}{space 3} .8349977
{txt}{space 12} {c |}
{space 5}country {c |}
{space 9}BE  {c |}{col 14}{res}{space 2} .1153243{col 26}{space 2} .2134668{col 37}{space 1}    0.54{col 46}{space 3}0.589{col 54}{space 4}-.3030629{col 67}{space 3} .5337115
{txt}{space 9}CH  {c |}{col 14}{res}{space 2} .9824712{col 26}{space 2} .2166253{col 37}{space 1}    4.54{col 46}{space 3}0.000{col 54}{space 4} .5578934{col 67}{space 3} 1.407049
{txt}{space 9}DE  {c |}{col 14}{res}{space 2} 1.198146{col 26}{space 2} .1861335{col 37}{space 1}    6.44{col 46}{space 3}0.000{col 54}{space 4} .8333309{col 67}{space 3} 1.562961
{txt}{space 9}DK  {c |}{col 14}{res}{space 2} .9650944{col 26}{space 2} .2107794{col 37}{space 1}    4.58{col 46}{space 3}0.000{col 54}{space 4} .5519744{col 67}{space 3} 1.378214
{txt}{space 9}ES  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 9}FI  {c |}{col 14}{res}{space 2} 1.157117{col 26}{space 2}  .194953{col 37}{space 1}    5.94{col 46}{space 3}0.000{col 54}{space 4} .7750166{col 67}{space 3} 1.539218
{txt}{space 9}FR  {c |}{col 14}{res}{space 2} .6542249{col 26}{space 2} .2245125{col 37}{space 1}    2.91{col 46}{space 3}0.004{col 54}{space 4} .2141885{col 67}{space 3} 1.094261
{txt}{space 9}GB  {c |}{col 14}{res}{space 2} .2623304{col 26}{space 2} .2144261{col 37}{space 1}    1.22{col 46}{space 3}0.221{col 54}{space 4}-.1579371{col 67}{space 3} .6825978
{txt}{space 9}IE  {c |}{col 14}{res}{space 2}  .059802{col 26}{space 2} .2235408{col 37}{space 1}    0.27{col 46}{space 3}0.789{col 54}{space 4}  -.37833{col 67}{space 3}  .497934
{txt}{space 9}NL  {c |}{col 14}{res}{space 2} .3908809{col 26}{space 2} .1974152{col 37}{space 1}    1.98{col 46}{space 3}0.048{col 54}{space 4} .0039542{col 67}{space 3} .7778076
{txt}{space 9}NO  {c |}{col 14}{res}{space 2} 1.519786{col 26}{space 2} .2182165{col 37}{space 1}    6.96{col 46}{space 3}0.000{col 54}{space 4}  1.09209{col 67}{space 3} 1.947483
{txt}{space 9}PT  {c |}{col 14}{res}{space 2} .9752935{col 26}{space 2} .2735761{col 37}{space 1}    3.56{col 46}{space 3}0.000{col 54}{space 4} .4390942{col 67}{space 3} 1.511493
{txt}{space 9}SE  {c |}{col 14}{res}{space 2} 1.656695{col 26}{space 2} .2217944{col 37}{space 1}    7.47{col 46}{space 3}0.000{col 54}{space 4} 1.221986{col 67}{space 3} 2.091404
{txt}{space 12} {c |}
{space 4}iscoco10 {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0507071{col 26}{space 2} .1127278{col 37}{space 1}   -0.45{col 46}{space 3}0.653{col 54}{space 4}-.2716495{col 67}{space 3} .1702353
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.2792909{col 26}{space 2} .1199164{col 37}{space 1}   -2.33{col 46}{space 3}0.020{col 54}{space 4}-.5143226{col 67}{space 3}-.0442591
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.2490363{col 26}{space 2} .1614572{col 37}{space 1}   -1.54{col 46}{space 3}0.123{col 54}{space 4}-.5654865{col 67}{space 3}  .067414
{txt}{space 10}5  {c |}{col 14}{res}{space 2} -.529966{col 26}{space 2} .1638718{col 37}{space 1}   -3.23{col 46}{space 3}0.001{col 54}{space 4} -.851149{col 67}{space 3}-.2087831
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.7945776{col 26}{space 2} .2459699{col 37}{space 1}   -3.23{col 46}{space 3}0.001{col 54}{space 4} -1.27667{col 67}{space 3}-.3124856
{txt}{space 10}7  {c |}{col 14}{res}{space 2}-.6927346{col 26}{space 2} .1376535{col 37}{space 1}   -5.03{col 46}{space 3}0.000{col 54}{space 4}-.9625304{col 67}{space 3}-.4229387
{txt}{space 10}8  {c |}{col 14}{res}{space 2}-.7751847{col 26}{space 2} .1569497{col 37}{space 1}   -4.94{col 46}{space 3}0.000{col 54}{space 4}  -1.0828{col 67}{space 3}-.4675691
{txt}{space 10}9  {c |}{col 14}{res}{space 2}-.8426277{col 26}{space 2} .1938762{col 37}{space 1}   -4.35{col 46}{space 3}0.000{col 54}{space 4}-1.222618{col 67}{space 3}-.4626373
{txt}{space 12} {c |}
{space 5}1.rural {c |}{col 14}{res}{space 2} -.081975{col 26}{space 2} .0758402{col 37}{space 1}   -1.08{col 46}{space 3}0.280{col 54}{space 4}-.2306191{col 67}{space 3} .0666691
{txt}{space 3}1.married {c |}{col 14}{res}{space 2}-.0068299{col 26}{space 2} .0837728{col 37}{space 1}   -0.08{col 46}{space 3}0.935{col 54}{space 4}-.1710215{col 67}{space 3} .1573617
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 2.065787{col 26}{space 2} 7.337155{col 37}{space 1}    0.28{col 46}{space 3}0.778{col 54}{space 4}-12.31477{col 67}{space 3} 16.44635
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 15 26}Instrumented:{space 2}rtrd{p_end}
{p 0 15 26}Instruments:{space 3}eduyrs agea agesquared hinctnta ever_child lrscale brncntr 2.country 3.country 5.country 6.country 9.country 10.country 11.country 13.country 16.country 17.country 19.country 20.country 2.iscoco10 3.iscoco10 4.iscoco10 5.iscoco10 6.iscoco10 7.iscoco10 8.iscoco10 9.iscoco10 1.rural 1.married above_early above_full{p_end}

{com}. ivregress 2sls imbleco (rtrd=above_early above_full) eduyrs agea agesquared hinctnta ever_child lrscale brncntr i.country i.iscoco10 i.rural i.married if cntry!="ES", robust 
{res}{txt}note: 8.country identifies no observations in the sample
{res}
{txt}{col 1}Instrumental variables (2SLS) regression{col 51}Number of obs{col 67}= {res}     3,411
{txt}{col 1}{col 51}Wald chi2({res}30{txt}){col 67}= {res}    363.74
{txt}{col 1}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}{col 1}{col 51}R-squared{col 67}= {res}    0.0950
{txt}{col 51}Root MSE{col 67}=    {res} 2.1027

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     imbleco{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}rtrd {c |}{col 14}{res}{space 2}-.3447175{col 26}{space 2} .6379871{col 37}{space 1}   -0.54{col 46}{space 3}0.589{col 54}{space 4}-1.595149{col 67}{space 3} .9057142
{txt}{space 6}eduyrs {c |}{col 14}{res}{space 2} .0402659{col 26}{space 2} .0115118{col 37}{space 1}    3.50{col 46}{space 3}0.000{col 54}{space 4} .0177031{col 67}{space 3} .0628287
{txt}{space 8}agea {c |}{col 14}{res}{space 2}  .076821{col 26}{space 2} .2762377{col 37}{space 1}    0.28{col 46}{space 3}0.781{col 54}{space 4} -.464595{col 67}{space 3}  .618237
{txt}{space 2}agesquared {c |}{col 14}{res}{space 2}-.0004685{col 26}{space 2} .0025763{col 37}{space 1}   -0.18{col 46}{space 3}0.856{col 54}{space 4}-.0055179{col 67}{space 3} .0045809
{txt}{space 4}hinctnta {c |}{col 14}{res}{space 2} .0230894{col 26}{space 2} .0193047{col 37}{space 1}    1.20{col 46}{space 3}0.232{col 54}{space 4}-.0147472{col 67}{space 3}  .060926
{txt}{space 2}ever_child {c |}{col 14}{res}{space 2}-.2044443{col 26}{space 2}  .099599{col 37}{space 1}   -2.05{col 46}{space 3}0.040{col 54}{space 4}-.3996548{col 67}{space 3}-.0092339
{txt}{space 5}lrscale {c |}{col 14}{res}{space 2} -.149201{col 26}{space 2} .0189086{col 37}{space 1}   -7.89{col 46}{space 3}0.000{col 54}{space 4}-.1862612{col 67}{space 3}-.1121407
{txt}{space 5}brncntr {c |}{col 14}{res}{space 2} .7281768{col 26}{space 2} .1509807{col 37}{space 1}    4.82{col 46}{space 3}0.000{col 54}{space 4} .4322601{col 67}{space 3} 1.024094
{txt}{space 12} {c |}
{space 5}country {c |}
{space 9}BE  {c |}{col 14}{res}{space 2} .5181261{col 26}{space 2} .2158256{col 37}{space 1}    2.40{col 46}{space 3}0.016{col 54}{space 4} .0951157{col 67}{space 3} .9411365
{txt}{space 9}CH  {c |}{col 14}{res}{space 2} .6344182{col 26}{space 2} .2271005{col 37}{space 1}    2.79{col 46}{space 3}0.005{col 54}{space 4} .1893094{col 67}{space 3} 1.079527
{txt}{space 9}DE  {c |}{col 14}{res}{space 2} 1.157658{col 26}{space 2} .1876551{col 37}{space 1}    6.17{col 46}{space 3}0.000{col 54}{space 4}  .789861{col 67}{space 3} 1.525456
{txt}{space 9}DK  {c |}{col 14}{res}{space 2} 1.110188{col 26}{space 2} .2180019{col 37}{space 1}    5.09{col 46}{space 3}0.000{col 54}{space 4}  .682912{col 67}{space 3} 1.537464
{txt}{space 9}ES  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 9}FI  {c |}{col 14}{res}{space 2} .9411186{col 26}{space 2} .2014151{col 37}{space 1}    4.67{col 46}{space 3}0.000{col 54}{space 4} .5463523{col 67}{space 3} 1.335885
{txt}{space 9}FR  {c |}{col 14}{res}{space 2} .8736364{col 26}{space 2} .2256125{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4}  .431444{col 67}{space 3} 1.315829
{txt}{space 9}GB  {c |}{col 14}{res}{space 2} .5535297{col 26}{space 2} .2182953{col 37}{space 1}    2.54{col 46}{space 3}0.011{col 54}{space 4} .1256787{col 67}{space 3} .9813807
{txt}{space 9}IE  {c |}{col 14}{res}{space 2}  .551599{col 26}{space 2} .2321839{col 37}{space 1}    2.38{col 46}{space 3}0.018{col 54}{space 4} .0965269{col 67}{space 3} 1.006671
{txt}{space 9}NL  {c |}{col 14}{res}{space 2} .7796985{col 26}{space 2} .1989089{col 37}{space 1}    3.92{col 46}{space 3}0.000{col 54}{space 4} .3898443{col 67}{space 3} 1.169553
{txt}{space 9}NO  {c |}{col 14}{res}{space 2} 1.166949{col 26}{space 2} .2222672{col 37}{space 1}    5.25{col 46}{space 3}0.000{col 54}{space 4} .7313136{col 67}{space 3} 1.602585
{txt}{space 9}PT  {c |}{col 14}{res}{space 2} 1.594524{col 26}{space 2} .2631112{col 37}{space 1}    6.06{col 46}{space 3}0.000{col 54}{space 4} 1.078836{col 67}{space 3} 2.110212
{txt}{space 9}SE  {c |}{col 14}{res}{space 2} 1.394426{col 26}{space 2} .2325812{col 37}{space 1}    6.00{col 46}{space 3}0.000{col 54}{space 4} .9385754{col 67}{space 3} 1.850277
{txt}{space 12} {c |}
{space 4}iscoco10 {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0103111{col 26}{space 2} .1283455{col 37}{space 1}   -0.08{col 46}{space 3}0.936{col 54}{space 4}-.2618636{col 67}{space 3} .2412415
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.4082538{col 26}{space 2} .1291589{col 37}{space 1}   -3.16{col 46}{space 3}0.002{col 54}{space 4}-.6614007{col 67}{space 3}-.1551069
{txt}{space 10}4  {c |}{col 14}{res}{space 2}  -.26142{col 26}{space 2} .1853505{col 37}{space 1}   -1.41{col 46}{space 3}0.158{col 54}{space 4}-.6247003{col 67}{space 3} .1018603
{txt}{space 10}5  {c |}{col 14}{res}{space 2}-.4262127{col 26}{space 2} .1708865{col 37}{space 1}   -2.49{col 46}{space 3}0.013{col 54}{space 4}-.7611441{col 67}{space 3}-.0912814
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.7742343{col 26}{space 2} .2444803{col 37}{space 1}   -3.17{col 46}{space 3}0.002{col 54}{space 4}-1.253407{col 67}{space 3}-.2950617
{txt}{space 10}7  {c |}{col 14}{res}{space 2}-.6675398{col 26}{space 2} .1439171{col 37}{space 1}   -4.64{col 46}{space 3}0.000{col 54}{space 4}-.9496121{col 67}{space 3}-.3854674
{txt}{space 10}8  {c |}{col 14}{res}{space 2}-.6781273{col 26}{space 2} .1604842{col 37}{space 1}   -4.23{col 46}{space 3}0.000{col 54}{space 4}-.9926707{col 67}{space 3} -.363584
{txt}{space 10}9  {c |}{col 14}{res}{space 2}-.6320488{col 26}{space 2}  .196618{col 37}{space 1}   -3.21{col 46}{space 3}0.001{col 54}{space 4}-1.017413{col 67}{space 3}-.2466846
{txt}{space 12} {c |}
{space 5}1.rural {c |}{col 14}{res}{space 2} .0369422{col 26}{space 2} .0776406{col 37}{space 1}    0.48{col 46}{space 3}0.634{col 54}{space 4}-.1152305{col 67}{space 3}  .189115
{txt}{space 3}1.married {c |}{col 14}{res}{space 2} .1541684{col 26}{space 2} .0889613{col 37}{space 1}    1.73{col 46}{space 3}0.083{col 54}{space 4}-.0201925{col 67}{space 3} .3285294
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .7748344{col 26}{space 2} 7.563833{col 37}{space 1}    0.10{col 46}{space 3}0.918{col 54}{space 4}-14.05001{col 67}{space 3} 15.59967
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 15 26}Instrumented:{space 2}rtrd{p_end}
{p 0 15 26}Instruments:{space 3}eduyrs agea agesquared hinctnta ever_child lrscale brncntr 2.country 3.country 5.country 6.country 9.country 10.country 11.country 13.country 16.country 17.country 19.country 20.country 2.iscoco10 3.iscoco10 4.iscoco10 5.iscoco10 6.iscoco10 7.iscoco10 8.iscoco10 9.iscoco10 1.rural 1.married above_early above_full{p_end}

{com}. *w/o SE

. ivregress 2sls imbgeco (rtrd=above_early above_full) eduyrs agea agesquared hinctnta ever_child lrscale brncntr i.country i.iscoco10 i.rural i.married if cntry!="SE", robust 
{res}{txt}note: 20.country identifies no observations in the sample
{res}
{txt}{col 1}Instrumental variables (2SLS) regression{col 51}Number of obs{col 67}= {res}     3,369
{txt}{col 1}{col 51}Wald chi2({res}30{txt}){col 67}= {res}    704.87
{txt}{col 1}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}{col 1}{col 51}R-squared{col 67}= {res}    0.1625
{txt}{col 51}Root MSE{col 67}=    {res} 2.1843

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     imbgeco{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}rtrd {c |}{col 14}{res}{space 2}-.5220522{col 26}{space 2} .6320791{col 37}{space 1}   -0.83{col 46}{space 3}0.409{col 54}{space 4}-1.760904{col 67}{space 3}    .7168
{txt}{space 6}eduyrs {c |}{col 14}{res}{space 2} .0686075{col 26}{space 2} .0119127{col 37}{space 1}    5.76{col 46}{space 3}0.000{col 54}{space 4} .0452591{col 67}{space 3}  .091956
{txt}{space 8}agea {c |}{col 14}{res}{space 2} .2018037{col 26}{space 2} .2778037{col 37}{space 1}    0.73{col 46}{space 3}0.468{col 54}{space 4}-.3426816{col 67}{space 3}  .746289
{txt}{space 2}agesquared {c |}{col 14}{res}{space 2}-.0013995{col 26}{space 2} .0025878{col 37}{space 1}   -0.54{col 46}{space 3}0.589{col 54}{space 4}-.0064716{col 67}{space 3} .0036725
{txt}{space 4}hinctnta {c |}{col 14}{res}{space 2} .0634376{col 26}{space 2} .0200981{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4}  .024046{col 67}{space 3} .1028293
{txt}{space 2}ever_child {c |}{col 14}{res}{space 2}-.0599114{col 26}{space 2} .1020642{col 37}{space 1}   -0.59{col 46}{space 3}0.557{col 54}{space 4}-.2599536{col 67}{space 3} .1401309
{txt}{space 5}lrscale {c |}{col 14}{res}{space 2}-.1385807{col 26}{space 2} .0203117{col 37}{space 1}   -6.82{col 46}{space 3}0.000{col 54}{space 4} -.178391{col 67}{space 3}-.0987705
{txt}{space 5}brncntr {c |}{col 14}{res}{space 2}  .678553{col 26}{space 2} .1636965{col 37}{space 1}    4.15{col 46}{space 3}0.000{col 54}{space 4} .3577137{col 67}{space 3} .9993924
{txt}{space 12} {c |}
{space 5}country {c |}
{space 9}BE  {c |}{col 14}{res}{space 2} -.399119{col 26}{space 2} .2252498{col 37}{space 1}   -1.77{col 46}{space 3}0.076{col 54}{space 4}-.8406004{col 67}{space 3} .0423624
{txt}{space 9}CH  {c |}{col 14}{res}{space 2} 1.224954{col 26}{space 2} .2261908{col 37}{space 1}    5.42{col 46}{space 3}0.000{col 54}{space 4} .7816285{col 67}{space 3}  1.66828
{txt}{space 9}DE  {c |}{col 14}{res}{space 2} .7550502{col 26}{space 2} .1982017{col 37}{space 1}    3.81{col 46}{space 3}0.000{col 54}{space 4} .3665821{col 67}{space 3} 1.143518
{txt}{space 9}DK  {c |}{col 14}{res}{space 2} .1982959{col 26}{space 2} .2341295{col 37}{space 1}    0.85{col 46}{space 3}0.397{col 54}{space 4}-.2605895{col 67}{space 3} .6571814
{txt}{space 9}ES  {c |}{col 14}{res}{space 2} .7147656{col 26}{space 2} .2485586{col 37}{space 1}    2.88{col 46}{space 3}0.004{col 54}{space 4} .2275996{col 67}{space 3} 1.201931
{txt}{space 9}FI  {c |}{col 14}{res}{space 2} .5785635{col 26}{space 2} .2091212{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .1686936{col 67}{space 3} .9884335
{txt}{space 9}FR  {c |}{col 14}{res}{space 2}-.1375481{col 26}{space 2} .2298336{col 37}{space 1}   -0.60{col 46}{space 3}0.550{col 54}{space 4}-.5880136{col 67}{space 3} .3129175
{txt}{space 9}GB  {c |}{col 14}{res}{space 2}-.2322336{col 26}{space 2} .2229663{col 37}{space 1}   -1.04{col 46}{space 3}0.298{col 54}{space 4}-.6692394{col 67}{space 3} .2047723
{txt}{space 9}IE  {c |}{col 14}{res}{space 2} .1315709{col 26}{space 2} .2388967{col 37}{space 1}    0.55{col 46}{space 3}0.582{col 54}{space 4} -.336658{col 67}{space 3} .5997998
{txt}{space 9}NL  {c |}{col 14}{res}{space 2}-.1358839{col 26}{space 2} .2127216{col 37}{space 1}   -0.64{col 46}{space 3}0.523{col 54}{space 4}-.5528106{col 67}{space 3} .2810427
{txt}{space 9}NO  {c |}{col 14}{res}{space 2} .6109645{col 26}{space 2} .2333004{col 37}{space 1}    2.62{col 46}{space 3}0.009{col 54}{space 4} .1537041{col 67}{space 3} 1.068225
{txt}{space 9}PT  {c |}{col 14}{res}{space 2}  .619137{col 26}{space 2}  .287541{col 37}{space 1}    2.15{col 46}{space 3}0.031{col 54}{space 4}  .055567{col 67}{space 3} 1.182707
{txt}{space 9}SE  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 12} {c |}
{space 4}iscoco10 {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0552959{col 26}{space 2}   .12849{col 37}{space 1}   -0.43{col 46}{space 3}0.667{col 54}{space 4}-.3071316{col 67}{space 3} .1965398
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.2985878{col 26}{space 2} .1331289{col 37}{space 1}   -2.24{col 46}{space 3}0.025{col 54}{space 4}-.5595156{col 67}{space 3}-.0376601
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.4023367{col 26}{space 2} .1919641{col 37}{space 1}   -2.10{col 46}{space 3}0.036{col 54}{space 4}-.7785794{col 67}{space 3} -.026094
{txt}{space 10}5  {c |}{col 14}{res}{space 2} -.907447{col 26}{space 2} .1844041{col 37}{space 1}   -4.92{col 46}{space 3}0.000{col 54}{space 4}-1.268872{col 67}{space 3}-.5460217
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-1.007001{col 26}{space 2} .2338737{col 37}{space 1}   -4.31{col 46}{space 3}0.000{col 54}{space 4}-1.465385{col 67}{space 3}-.5486172
{txt}{space 10}7  {c |}{col 14}{res}{space 2}-1.003136{col 26}{space 2} .1489812{col 37}{space 1}   -6.73{col 46}{space 3}0.000{col 54}{space 4}-1.295134{col 67}{space 3}-.7111384
{txt}{space 10}8  {c |}{col 14}{res}{space 2}-1.245529{col 26}{space 2} .1734116{col 37}{space 1}   -7.18{col 46}{space 3}0.000{col 54}{space 4}-1.585409{col 67}{space 3}-.9056481
{txt}{space 10}9  {c |}{col 14}{res}{space 2}-.9769993{col 26}{space 2} .2062387{col 37}{space 1}   -4.74{col 46}{space 3}0.000{col 54}{space 4} -1.38122{col 67}{space 3}-.5727788
{txt}{space 12} {c |}
{space 5}1.rural {c |}{col 14}{res}{space 2}-.1693413{col 26}{space 2} .0805784{col 37}{space 1}   -2.10{col 46}{space 3}0.036{col 54}{space 4} -.327272{col 67}{space 3}-.0114106
{txt}{space 3}1.married {c |}{col 14}{res}{space 2}-.0431517{col 26}{space 2} .0904659{col 37}{space 1}   -0.48{col 46}{space 3}0.633{col 54}{space 4}-.2204616{col 67}{space 3} .1341582
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-2.290006{col 26}{space 2} 7.610326{col 37}{space 1}   -0.30{col 46}{space 3}0.763{col 54}{space 4}-17.20597{col 67}{space 3} 12.62596
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 15 26}Instrumented:{space 2}rtrd{p_end}
{p 0 15 26}Instruments:{space 3}eduyrs agea agesquared hinctnta ever_child lrscale brncntr 2.country 3.country 5.country 6.country 8.country 9.country 10.country 11.country 13.country 16.country 17.country 19.country 2.iscoco10 3.iscoco10 4.iscoco10 5.iscoco10 6.iscoco10 7.iscoco10 8.iscoco10 9.iscoco10 1.rural 1.married above_early above_full{p_end}

{com}. ivregress 2sls imtcjob (rtrd=above_early above_full) eduyrs agea agesquared hinctnta ever_child lrscale brncntr i.country i.iscoco10 i.rural i.married if cntry!="SE", robust 
{res}{txt}note: 20.country identifies no observations in the sample
{res}
{txt}{col 1}Instrumental variables (2SLS) regression{col 51}Number of obs{col 67}= {res}     3,360
{txt}{col 1}{col 51}Wald chi2({res}30{txt}){col 67}= {res}    457.40
{txt}{col 1}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}{col 1}{col 51}R-squared{col 67}= {res}    0.1192
{txt}{col 51}Root MSE{col 67}=    {res} 2.0462

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     imtcjob{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}rtrd {c |}{col 14}{res}{space 2}-.3158795{col 26}{space 2} .6301772{col 37}{space 1}   -0.50{col 46}{space 3}0.616{col 54}{space 4}-1.551004{col 67}{space 3}  .919245
{txt}{space 6}eduyrs {c |}{col 14}{res}{space 2} .0476488{col 26}{space 2}  .010719{col 37}{space 1}    4.45{col 46}{space 3}0.000{col 54}{space 4} .0266399{col 67}{space 3} .0686577
{txt}{space 8}agea {c |}{col 14}{res}{space 2} .0651642{col 26}{space 2} .2728827{col 37}{space 1}    0.24{col 46}{space 3}0.811{col 54}{space 4} -.469676{col 67}{space 3} .6000045
{txt}{space 2}agesquared {c |}{col 14}{res}{space 2}-.0004024{col 26}{space 2} .0025506{col 37}{space 1}   -0.16{col 46}{space 3}0.875{col 54}{space 4}-.0054015{col 67}{space 3} .0045968
{txt}{space 4}hinctnta {c |}{col 14}{res}{space 2} .0383031{col 26}{space 2} .0189902{col 37}{space 1}    2.02{col 46}{space 3}0.044{col 54}{space 4} .0010831{col 67}{space 3} .0755232
{txt}{space 2}ever_child {c |}{col 14}{res}{space 2} .0033662{col 26}{space 2}  .097898{col 37}{space 1}    0.03{col 46}{space 3}0.973{col 54}{space 4}-.1885105{col 67}{space 3} .1952428
{txt}{space 5}lrscale {c |}{col 14}{res}{space 2}-.0331709{col 26}{space 2} .0190289{col 37}{space 1}   -1.74{col 46}{space 3}0.081{col 54}{space 4}-.0704667{col 67}{space 3}  .004125
{txt}{space 5}brncntr {c |}{col 14}{res}{space 2} .6686153{col 26}{space 2}   .15544{col 37}{space 1}    4.30{col 46}{space 3}0.000{col 54}{space 4} .3639585{col 67}{space 3} .9732721
{txt}{space 12} {c |}
{space 5}country {c |}
{space 9}BE  {c |}{col 14}{res}{space 2} .0932251{col 26}{space 2} .2138337{col 37}{space 1}    0.44{col 46}{space 3}0.663{col 54}{space 4}-.3258812{col 67}{space 3} .5123314
{txt}{space 9}CH  {c |}{col 14}{res}{space 2} .9731682{col 26}{space 2}  .216738{col 37}{space 1}    4.49{col 46}{space 3}0.000{col 54}{space 4} .5483696{col 67}{space 3} 1.397967
{txt}{space 9}DE  {c |}{col 14}{res}{space 2} 1.177927{col 26}{space 2} .1861345{col 37}{space 1}    6.33{col 46}{space 3}0.000{col 54}{space 4}   .81311{col 67}{space 3} 1.542744
{txt}{space 9}DK  {c |}{col 14}{res}{space 2} .9439033{col 26}{space 2} .2108164{col 37}{space 1}    4.48{col 46}{space 3}0.000{col 54}{space 4} .5307108{col 67}{space 3} 1.357096
{txt}{space 9}ES  {c |}{col 14}{res}{space 2} .3766823{col 26}{space 2} .2466659{col 37}{space 1}    1.53{col 46}{space 3}0.127{col 54}{space 4} -.106774{col 67}{space 3} .8601385
{txt}{space 9}FI  {c |}{col 14}{res}{space 2} 1.155614{col 26}{space 2} .1950408{col 37}{space 1}    5.92{col 46}{space 3}0.000{col 54}{space 4} .7733408{col 67}{space 3} 1.537887
{txt}{space 9}FR  {c |}{col 14}{res}{space 2}    .6287{col 26}{space 2} .2250402{col 37}{space 1}    2.79{col 46}{space 3}0.005{col 54}{space 4} .1876293{col 67}{space 3} 1.069771
{txt}{space 9}GB  {c |}{col 14}{res}{space 2} .2518973{col 26}{space 2} .2142363{col 37}{space 1}    1.18{col 46}{space 3}0.240{col 54}{space 4}-.1679982{col 67}{space 3} .6717928
{txt}{space 9}IE  {c |}{col 14}{res}{space 2} .0757421{col 26}{space 2} .2235393{col 37}{space 1}    0.34{col 46}{space 3}0.735{col 54}{space 4}-.3623868{col 67}{space 3}  .513871
{txt}{space 9}NL  {c |}{col 14}{res}{space 2}  .366697{col 26}{space 2} .1977392{col 37}{space 1}    1.85{col 46}{space 3}0.064{col 54}{space 4}-.0208646{col 67}{space 3} .7542587
{txt}{space 9}NO  {c |}{col 14}{res}{space 2} 1.520539{col 26}{space 2} .2189346{col 37}{space 1}    6.95{col 46}{space 3}0.000{col 54}{space 4} 1.091435{col 67}{space 3} 1.949643
{txt}{space 9}PT  {c |}{col 14}{res}{space 2} .9744747{col 26}{space 2}   .27383{col 37}{space 1}    3.56{col 46}{space 3}0.000{col 54}{space 4} .4377777{col 67}{space 3} 1.511172
{txt}{space 9}SE  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 12} {c |}
{space 4}iscoco10 {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0857549{col 26}{space 2}  .113368{col 37}{space 1}   -0.76{col 46}{space 3}0.449{col 54}{space 4}-.3079521{col 67}{space 3} .1364423
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.2178901{col 26}{space 2} .1223026{col 37}{space 1}   -1.78{col 46}{space 3}0.075{col 54}{space 4}-.4575988{col 67}{space 3} .0218187
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.1008108{col 26}{space 2} .1652159{col 37}{space 1}   -0.61{col 46}{space 3}0.542{col 54}{space 4} -.424628{col 67}{space 3} .2230063
{txt}{space 10}5  {c |}{col 14}{res}{space 2}-.6872431{col 26}{space 2}   .16575{col 37}{space 1}   -4.15{col 46}{space 3}0.000{col 54}{space 4}-1.012107{col 67}{space 3}-.3623791
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.7773057{col 26}{space 2} .2450137{col 37}{space 1}   -3.17{col 46}{space 3}0.002{col 54}{space 4}-1.257524{col 67}{space 3}-.2970876
{txt}{space 10}7  {c |}{col 14}{res}{space 2}-.6961812{col 26}{space 2} .1394576{col 37}{space 1}   -4.99{col 46}{space 3}0.000{col 54}{space 4} -.969513{col 67}{space 3}-.4228495
{txt}{space 10}8  {c |}{col 14}{res}{space 2}-.7829176{col 26}{space 2} .1594932{col 37}{space 1}   -4.91{col 46}{space 3}0.000{col 54}{space 4}-1.095519{col 67}{space 3}-.4703166
{txt}{space 10}9  {c |}{col 14}{res}{space 2}-.8081759{col 26}{space 2}  .189679{col 37}{space 1}   -4.26{col 46}{space 3}0.000{col 54}{space 4} -1.17994{col 67}{space 3}-.4364119
{txt}{space 12} {c |}
{space 5}1.rural {c |}{col 14}{res}{space 2}-.1340867{col 26}{space 2} .0780367{col 37}{space 1}   -1.72{col 46}{space 3}0.086{col 54}{space 4}-.2870358{col 67}{space 3} .0188625
{txt}{space 3}1.married {c |}{col 14}{res}{space 2}-.0439155{col 26}{space 2} .0866754{col 37}{space 1}   -0.51{col 46}{space 3}0.612{col 54}{space 4}-.2137963{col 67}{space 3} .1259652
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 1.234305{col 26}{space 2} 7.439338{col 37}{space 1}    0.17{col 46}{space 3}0.868{col 54}{space 4}-13.34653{col 67}{space 3} 15.81514
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 15 26}Instrumented:{space 2}rtrd{p_end}
{p 0 15 26}Instruments:{space 3}eduyrs agea agesquared hinctnta ever_child lrscale brncntr 2.country 3.country 5.country 6.country 8.country 9.country 10.country 11.country 13.country 16.country 17.country 19.country 2.iscoco10 3.iscoco10 4.iscoco10 5.iscoco10 6.iscoco10 7.iscoco10 8.iscoco10 9.iscoco10 1.rural 1.married above_early above_full{p_end}

{com}. ivregress 2sls imbleco (rtrd=above_early above_full) eduyrs agea agesquared hinctnta ever_child lrscale brncntr i.country i.iscoco10 i.rural i.married if cntry!="SE", robust 
{res}{txt}note: 20.country identifies no observations in the sample
{res}
{txt}{col 1}Instrumental variables (2SLS) regression{col 51}Number of obs{col 67}= {res}     3,357
{txt}{col 1}{col 51}Wald chi2({res}30{txt}){col 67}= {res}    369.09
{txt}{col 1}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}{col 1}{col 51}R-squared{col 67}= {res}    0.0959
{txt}{col 51}Root MSE{col 67}=    {res} 2.1076

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     imbleco{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}rtrd {c |}{col 14}{res}{space 2}-.3407831{col 26}{space 2} .6325523{col 37}{space 1}   -0.54{col 46}{space 3}0.590{col 54}{space 4}-1.580563{col 67}{space 3} .8989966
{txt}{space 6}eduyrs {c |}{col 14}{res}{space 2} .0378989{col 26}{space 2}  .011236{col 37}{space 1}    3.37{col 46}{space 3}0.001{col 54}{space 4} .0158768{col 67}{space 3} .0599211
{txt}{space 8}agea {c |}{col 14}{res}{space 2} .1321478{col 26}{space 2} .2764373{col 37}{space 1}    0.48{col 46}{space 3}0.633{col 54}{space 4}-.4096593{col 67}{space 3} .6739549
{txt}{space 2}agesquared {c |}{col 14}{res}{space 2}-.0009231{col 26}{space 2} .0025806{col 37}{space 1}   -0.36{col 46}{space 3}0.721{col 54}{space 4}-.0059809{col 67}{space 3} .0041347
{txt}{space 4}hinctnta {c |}{col 14}{res}{space 2} .0276582{col 26}{space 2} .0193352{col 37}{space 1}    1.43{col 46}{space 3}0.153{col 54}{space 4} -.010238{col 67}{space 3} .0655544
{txt}{space 2}ever_child {c |}{col 14}{res}{space 2}-.2184317{col 26}{space 2}  .100745{col 37}{space 1}   -2.17{col 46}{space 3}0.030{col 54}{space 4}-.4158882{col 67}{space 3}-.0209752
{txt}{space 5}lrscale {c |}{col 14}{res}{space 2}-.1510209{col 26}{space 2} .0194915{col 37}{space 1}   -7.75{col 46}{space 3}0.000{col 54}{space 4}-.1892237{col 67}{space 3}-.1128182
{txt}{space 5}brncntr {c |}{col 14}{res}{space 2} .8354208{col 26}{space 2} .1566354{col 37}{space 1}    5.33{col 46}{space 3}0.000{col 54}{space 4}  .528421{col 67}{space 3} 1.142421
{txt}{space 12} {c |}
{space 5}country {c |}
{space 9}BE  {c |}{col 14}{res}{space 2} .5103677{col 26}{space 2}  .215917{col 37}{space 1}    2.36{col 46}{space 3}0.018{col 54}{space 4} .0871782{col 67}{space 3} .9335572
{txt}{space 9}CH  {c |}{col 14}{res}{space 2} .6252607{col 26}{space 2} .2264594{col 37}{space 1}    2.76{col 46}{space 3}0.006{col 54}{space 4} .1814085{col 67}{space 3} 1.069113
{txt}{space 9}DE  {c |}{col 14}{res}{space 2} 1.158838{col 26}{space 2} .1871727{col 37}{space 1}    6.19{col 46}{space 3}0.000{col 54}{space 4} .7919866{col 67}{space 3}  1.52569
{txt}{space 9}DK  {c |}{col 14}{res}{space 2} 1.120122{col 26}{space 2} .2177541{col 37}{space 1}    5.14{col 46}{space 3}0.000{col 54}{space 4} .6933317{col 67}{space 3} 1.546912
{txt}{space 9}ES  {c |}{col 14}{res}{space 2} .2729852{col 26}{space 2} .2298458{col 37}{space 1}    1.19{col 46}{space 3}0.235{col 54}{space 4}-.1775042{col 67}{space 3} .7234746
{txt}{space 9}FI  {c |}{col 14}{res}{space 2}    .9532{col 26}{space 2} .2009864{col 37}{space 1}    4.74{col 46}{space 3}0.000{col 54}{space 4} .5592739{col 67}{space 3} 1.347126
{txt}{space 9}FR  {c |}{col 14}{res}{space 2} .8713846{col 26}{space 2} .2251052{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .4301866{col 67}{space 3} 1.312583
{txt}{space 9}GB  {c |}{col 14}{res}{space 2}   .55859{col 26}{space 2} .2180036{col 37}{space 1}    2.56{col 46}{space 3}0.010{col 54}{space 4} .1313108{col 67}{space 3} .9858693
{txt}{space 9}IE  {c |}{col 14}{res}{space 2} .5719249{col 26}{space 2} .2317481{col 37}{space 1}    2.47{col 46}{space 3}0.014{col 54}{space 4}  .117707{col 67}{space 3} 1.026143
{txt}{space 9}NL  {c |}{col 14}{res}{space 2} .7768201{col 26}{space 2} .1985292{col 37}{space 1}    3.91{col 46}{space 3}0.000{col 54}{space 4} .3877101{col 67}{space 3}  1.16593
{txt}{space 9}NO  {c |}{col 14}{res}{space 2} 1.173264{col 26}{space 2} .2214597{col 37}{space 1}    5.30{col 46}{space 3}0.000{col 54}{space 4} .7392107{col 67}{space 3} 1.607317
{txt}{space 9}PT  {c |}{col 14}{res}{space 2} 1.589253{col 26}{space 2} .2628588{col 37}{space 1}    6.05{col 46}{space 3}0.000{col 54}{space 4} 1.074059{col 67}{space 3} 2.104447
{txt}{space 9}SE  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 12} {c |}
{space 4}iscoco10 {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0704101{col 26}{space 2} .1287994{col 37}{space 1}   -0.55{col 46}{space 3}0.585{col 54}{space 4}-.3228522{col 67}{space 3}  .182032
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.4092306{col 26}{space 2} .1290907{col 37}{space 1}   -3.17{col 46}{space 3}0.002{col 54}{space 4}-.6622437{col 67}{space 3}-.1562175
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.1929163{col 26}{space 2}  .186597{col 37}{space 1}   -1.03{col 46}{space 3}0.301{col 54}{space 4}-.5586397{col 67}{space 3}  .172807
{txt}{space 10}5  {c |}{col 14}{res}{space 2}-.5202247{col 26}{space 2} .1694593{col 37}{space 1}   -3.07{col 46}{space 3}0.002{col 54}{space 4}-.8523588{col 67}{space 3}-.1880906
{txt}{space 10}6  {c |}{col 14}{res}{space 2} -.863931{col 26}{space 2} .2397632{col 37}{space 1}   -3.60{col 46}{space 3}0.000{col 54}{space 4}-1.333858{col 67}{space 3}-.3940038
{txt}{space 10}7  {c |}{col 14}{res}{space 2}-.6833432{col 26}{space 2} .1443221{col 37}{space 1}   -4.73{col 46}{space 3}0.000{col 54}{space 4}-.9662093{col 67}{space 3}-.4004771
{txt}{space 10}8  {c |}{col 14}{res}{space 2}-.6769833{col 26}{space 2} .1637943{col 37}{space 1}   -4.13{col 46}{space 3}0.000{col 54}{space 4}-.9980142{col 67}{space 3}-.3559524
{txt}{space 10}9  {c |}{col 14}{res}{space 2}-.6905633{col 26}{space 2} .1934609{col 37}{space 1}   -3.57{col 46}{space 3}0.000{col 54}{space 4} -1.06974{col 67}{space 3}-.3113868
{txt}{space 12} {c |}
{space 5}1.rural {c |}{col 14}{res}{space 2} .0276745{col 26}{space 2} .0781213{col 37}{space 1}    0.35{col 46}{space 3}0.723{col 54}{space 4}-.1254405{col 67}{space 3} .1807895
{txt}{space 3}1.married {c |}{col 14}{res}{space 2} .1118446{col 26}{space 2} .0905413{col 37}{space 1}    1.24{col 46}{space 3}0.217{col 54}{space 4} -.065613{col 67}{space 3} .2893022
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.9298538{col 26}{space 2} 7.553221{col 37}{space 1}   -0.12{col 46}{space 3}0.902{col 54}{space 4}-15.73389{col 67}{space 3} 13.87419
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 15 26}Instrumented:{space 2}rtrd{p_end}
{p 0 15 26}Instruments:{space 3}eduyrs agea agesquared hinctnta ever_child lrscale brncntr 2.country 3.country 5.country 6.country 8.country 9.country 10.country 11.country 13.country 16.country 17.country 19.country 2.iscoco10 3.iscoco10 4.iscoco10 5.iscoco10 6.iscoco10 7.iscoco10 8.iscoco10 9.iscoco10 1.rural 1.married above_early above_full{p_end}

{com}. *w/o CH

. ivregress 2sls imbgeco (rtrd=above_early above_full) eduyrs agea agesquared hinctnta ever_child lrscale brncntr i.country i.iscoco10 i.rural i.married if cntry!="CH", robust 
{res}{txt}note: 3.country identifies no observations in the sample
{res}
{txt}{col 1}Instrumental variables (2SLS) regression{col 51}Number of obs{col 67}= {res}     3,403
{txt}{col 1}{col 51}Wald chi2({res}30{txt}){col 67}= {res}    652.24
{txt}{col 1}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}{col 1}{col 51}R-squared{col 67}= {res}    0.1523
{txt}{col 51}Root MSE{col 67}=    {res} 2.2018

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     imbgeco{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}rtrd {c |}{col 14}{res}{space 2}-.3856082{col 26}{space 2}  .673932{col 37}{space 1}   -0.57{col 46}{space 3}0.567{col 54}{space 4}-1.706491{col 67}{space 3} .9352742
{txt}{space 6}eduyrs {c |}{col 14}{res}{space 2}  .079829{col 26}{space 2} .0119638{col 37}{space 1}    6.67{col 46}{space 3}0.000{col 54}{space 4} .0563803{col 67}{space 3} .1032777
{txt}{space 8}agea {c |}{col 14}{res}{space 2} .1689077{col 26}{space 2} .2892407{col 37}{space 1}    0.58{col 46}{space 3}0.559{col 54}{space 4}-.3979936{col 67}{space 3}  .735809
{txt}{space 2}agesquared {c |}{col 14}{res}{space 2}-.0011505{col 26}{space 2} .0027005{col 37}{space 1}   -0.43{col 46}{space 3}0.670{col 54}{space 4}-.0064433{col 67}{space 3} .0041424
{txt}{space 4}hinctnta {c |}{col 14}{res}{space 2} .0577676{col 26}{space 2} .0206053{col 37}{space 1}    2.80{col 46}{space 3}0.005{col 54}{space 4} .0173819{col 67}{space 3} .0981532
{txt}{space 2}ever_child {c |}{col 14}{res}{space 2}-.1272991{col 26}{space 2} .1031664{col 37}{space 1}   -1.23{col 46}{space 3}0.217{col 54}{space 4}-.3295015{col 67}{space 3} .0749032
{txt}{space 5}lrscale {c |}{col 14}{res}{space 2}-.1352248{col 26}{space 2} .0200773{col 37}{space 1}   -6.74{col 46}{space 3}0.000{col 54}{space 4}-.1745756{col 67}{space 3} -.095874
{txt}{space 5}brncntr {c |}{col 14}{res}{space 2} .6839422{col 26}{space 2} .1738273{col 37}{space 1}    3.93{col 46}{space 3}0.000{col 54}{space 4} .3432469{col 67}{space 3} 1.024638
{txt}{space 12} {c |}
{space 5}country {c |}
{space 9}BE  {c |}{col 14}{res}{space 2}-.4034457{col 26}{space 2} .2265346{col 37}{space 1}   -1.78{col 46}{space 3}0.075{col 54}{space 4}-.8474453{col 67}{space 3} .0405539
{txt}{space 9}CH  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 9}DE  {c |}{col 14}{res}{space 2} .7551607{col 26}{space 2} .1990707{col 37}{space 1}    3.79{col 46}{space 3}0.000{col 54}{space 4} .3649893{col 67}{space 3} 1.145332
{txt}{space 9}DK  {c |}{col 14}{res}{space 2} .2097191{col 26}{space 2} .2351492{col 37}{space 1}    0.89{col 46}{space 3}0.372{col 54}{space 4}-.2511649{col 67}{space 3} .6706031
{txt}{space 9}ES  {c |}{col 14}{res}{space 2} .7436376{col 26}{space 2} .2499736{col 37}{space 1}    2.97{col 46}{space 3}0.003{col 54}{space 4} .2536982{col 67}{space 3} 1.233577
{txt}{space 9}FI  {c |}{col 14}{res}{space 2} .5763447{col 26}{space 2}  .209861{col 37}{space 1}    2.75{col 46}{space 3}0.006{col 54}{space 4} .1650247{col 67}{space 3} .9876647
{txt}{space 9}FR  {c |}{col 14}{res}{space 2}-.1340769{col 26}{space 2} .2323527{col 37}{space 1}   -0.58{col 46}{space 3}0.564{col 54}{space 4}-.5894799{col 67}{space 3} .3213261
{txt}{space 9}GB  {c |}{col 14}{res}{space 2}-.2356662{col 26}{space 2} .2235136{col 37}{space 1}   -1.05{col 46}{space 3}0.292{col 54}{space 4}-.6737448{col 67}{space 3} .2024124
{txt}{space 9}IE  {c |}{col 14}{res}{space 2}  .116686{col 26}{space 2} .2403911{col 37}{space 1}    0.49{col 46}{space 3}0.627{col 54}{space 4}-.3544718{col 67}{space 3} .5878438
{txt}{space 9}NL  {c |}{col 14}{res}{space 2}-.1350842{col 26}{space 2} .2134792{col 37}{space 1}   -0.63{col 46}{space 3}0.527{col 54}{space 4}-.5534958{col 67}{space 3} .2833274
{txt}{space 9}NO  {c |}{col 14}{res}{space 2} .6301241{col 26}{space 2} .2358726{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .1678223{col 67}{space 3} 1.092426
{txt}{space 9}PT  {c |}{col 14}{res}{space 2} .6650254{col 26}{space 2} .2882397{col 37}{space 1}    2.31{col 46}{space 3}0.021{col 54}{space 4} .1000859{col 67}{space 3} 1.229965
{txt}{space 9}SE  {c |}{col 14}{res}{space 2} .2246711{col 26}{space 2} .2454542{col 37}{space 1}    0.92{col 46}{space 3}0.360{col 54}{space 4}-.2564103{col 67}{space 3} .7057524
{txt}{space 12} {c |}
{space 4}iscoco10 {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0693138{col 26}{space 2} .1319165{col 37}{space 1}   -0.53{col 46}{space 3}0.599{col 54}{space 4}-.3278654{col 67}{space 3} .1892378
{txt}{space 10}3  {c |}{col 14}{res}{space 2} -.305121{col 26}{space 2} .1363132{col 37}{space 1}   -2.24{col 46}{space 3}0.025{col 54}{space 4}-.5722899{col 67}{space 3} -.037952
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.4874259{col 26}{space 2} .1972343{col 37}{space 1}   -2.47{col 46}{space 3}0.013{col 54}{space 4}-.8739981{col 67}{space 3}-.1008538
{txt}{space 10}5  {c |}{col 14}{res}{space 2}-.8803595{col 26}{space 2} .1857154{col 37}{space 1}   -4.74{col 46}{space 3}0.000{col 54}{space 4}-1.244355{col 67}{space 3}-.5163639
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-1.055041{col 26}{space 2} .2327988{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-1.511318{col 67}{space 3}-.5987635
{txt}{space 10}7  {c |}{col 14}{res}{space 2}-.9976701{col 26}{space 2} .1508981{col 37}{space 1}   -6.61{col 46}{space 3}0.000{col 54}{space 4}-1.293425{col 67}{space 3}-.7019153
{txt}{space 10}8  {c |}{col 14}{res}{space 2}-1.224152{col 26}{space 2} .1709509{col 37}{space 1}   -7.16{col 46}{space 3}0.000{col 54}{space 4} -1.55921{col 67}{space 3}-.8890946
{txt}{space 10}9  {c |}{col 14}{res}{space 2}-.9281424{col 26}{space 2} .2087113{col 37}{space 1}   -4.45{col 46}{space 3}0.000{col 54}{space 4}-1.337209{col 67}{space 3}-.5190758
{txt}{space 12} {c |}
{space 5}1.rural {c |}{col 14}{res}{space 2} -.136233{col 26}{space 2} .0805298{col 37}{space 1}   -1.69{col 46}{space 3}0.091{col 54}{space 4}-.2940684{col 67}{space 3} .0216025
{txt}{space 3}1.married {c |}{col 14}{res}{space 2} -.014576{col 26}{space 2} .0920275{col 37}{space 1}   -0.16{col 46}{space 3}0.874{col 54}{space 4}-.1949466{col 67}{space 3} .1657946
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -1.38771{col 26}{space 2} 7.905104{col 37}{space 1}   -0.18{col 46}{space 3}0.861{col 54}{space 4}-16.88143{col 67}{space 3} 14.10601
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 15 26}Instrumented:{space 2}rtrd{p_end}
{p 0 15 26}Instruments:{space 3}eduyrs agea agesquared hinctnta ever_child lrscale brncntr 2.country 5.country 6.country 8.country 9.country 10.country 11.country 13.country 16.country 17.country 19.country 20.country 2.iscoco10 3.iscoco10 4.iscoco10 5.iscoco10 6.iscoco10 7.iscoco10 8.iscoco10 9.iscoco10 1.rural 1.married above_early above_full{p_end}

{com}. ivregress 2sls imtcjob (rtrd=above_early above_full) eduyrs agea agesquared hinctnta ever_child lrscale brncntr i.country i.iscoco10 i.rural i.married if cntry!="CH", robust 
{res}{txt}note: 3.country identifies no observations in the sample
{res}
{txt}{col 1}Instrumental variables (2SLS) regression{col 51}Number of obs{col 67}= {res}     3,395
{txt}{col 1}{col 51}Wald chi2({res}30{txt}){col 67}= {res}    490.91
{txt}{col 1}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}{col 1}{col 51}R-squared{col 67}= {res}    0.1287
{txt}{col 51}Root MSE{col 67}=    {res} 2.0418

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     imtcjob{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}rtrd {c |}{col 14}{res}{space 2}-.3754798{col 26}{space 2} .6678481{col 37}{space 1}   -0.56{col 46}{space 3}0.574{col 54}{space 4}-1.684438{col 67}{space 3} .9334785
{txt}{space 6}eduyrs {c |}{col 14}{res}{space 2} .0517013{col 26}{space 2} .0108243{col 37}{space 1}    4.78{col 46}{space 3}0.000{col 54}{space 4} .0304861{col 67}{space 3} .0729164
{txt}{space 8}agea {c |}{col 14}{res}{space 2}-.0221743{col 26}{space 2} .2807915{col 37}{space 1}   -0.08{col 46}{space 3}0.937{col 54}{space 4}-.5725155{col 67}{space 3} .5281668
{txt}{space 2}agesquared {c |}{col 14}{res}{space 2} .0003707{col 26}{space 2} .0026301{col 37}{space 1}    0.14{col 46}{space 3}0.888{col 54}{space 4}-.0047843{col 67}{space 3} .0055257
{txt}{space 4}hinctnta {c |}{col 14}{res}{space 2} .0351309{col 26}{space 2} .0192712{col 37}{space 1}    1.82{col 46}{space 3}0.068{col 54}{space 4}-.0026399{col 67}{space 3} .0729017
{txt}{space 2}ever_child {c |}{col 14}{res}{space 2}-.0041642{col 26}{space 2} .0993257{col 37}{space 1}   -0.04{col 46}{space 3}0.967{col 54}{space 4}-.1988391{col 67}{space 3} .1905107
{txt}{space 5}lrscale {c |}{col 14}{res}{space 2} -.031683{col 26}{space 2} .0184032{col 37}{space 1}   -1.72{col 46}{space 3}0.085{col 54}{space 4}-.0677526{col 67}{space 3} .0043867
{txt}{space 5}brncntr {c |}{col 14}{res}{space 2} .6701316{col 26}{space 2} .1632981{col 37}{space 1}    4.10{col 46}{space 3}0.000{col 54}{space 4} .3500732{col 67}{space 3}   .99019
{txt}{space 12} {c |}
{space 5}country {c |}
{space 9}BE  {c |}{col 14}{res}{space 2} .0976293{col 26}{space 2}  .214608{col 37}{space 1}    0.45{col 46}{space 3}0.649{col 54}{space 4}-.3229946{col 67}{space 3} .5182532
{txt}{space 9}CH  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 9}DE  {c |}{col 14}{res}{space 2} 1.177594{col 26}{space 2} .1860473{col 37}{space 1}    6.33{col 46}{space 3}0.000{col 54}{space 4} .8129478{col 67}{space 3}  1.54224
{txt}{space 9}DK  {c |}{col 14}{res}{space 2} .9398497{col 26}{space 2} .2109887{col 37}{space 1}    4.45{col 46}{space 3}0.000{col 54}{space 4} .5263195{col 67}{space 3}  1.35338
{txt}{space 9}ES  {c |}{col 14}{res}{space 2} .3717922{col 26}{space 2} .2476894{col 37}{space 1}    1.50{col 46}{space 3}0.133{col 54}{space 4}  -.11367{col 67}{space 3} .8572544
{txt}{space 9}FI  {c |}{col 14}{res}{space 2} 1.148213{col 26}{space 2} .1948907{col 37}{space 1}    5.89{col 46}{space 3}0.000{col 54}{space 4}  .766234{col 67}{space 3} 1.530191
{txt}{space 9}FR  {c |}{col 14}{res}{space 2} .6411508{col 26}{space 2} .2268029{col 37}{space 1}    2.83{col 46}{space 3}0.005{col 54}{space 4} .1966253{col 67}{space 3} 1.085676
{txt}{space 9}GB  {c |}{col 14}{res}{space 2} .2420372{col 26}{space 2} .2143268{col 37}{space 1}    1.13{col 46}{space 3}0.259{col 54}{space 4}-.1780357{col 67}{space 3}   .66211
{txt}{space 9}IE  {c |}{col 14}{res}{space 2} .0683543{col 26}{space 2} .2245482{col 37}{space 1}    0.30{col 46}{space 3}0.761{col 54}{space 4}-.3717521{col 67}{space 3} .5084607
{txt}{space 9}NL  {c |}{col 14}{res}{space 2} .3609697{col 26}{space 2} .1976202{col 37}{space 1}    1.83{col 46}{space 3}0.068{col 54}{space 4}-.0263588{col 67}{space 3} .7482982
{txt}{space 9}NO  {c |}{col 14}{res}{space 2} 1.503894{col 26}{space 2} .2200414{col 37}{space 1}    6.83{col 46}{space 3}0.000{col 54}{space 4} 1.072621{col 67}{space 3} 1.935168
{txt}{space 9}PT  {c |}{col 14}{res}{space 2} .9934036{col 26}{space 2} .2736241{col 37}{space 1}    3.63{col 46}{space 3}0.000{col 54}{space 4} .4571102{col 67}{space 3} 1.529697
{txt}{space 9}SE  {c |}{col 14}{res}{space 2} 1.612231{col 26}{space 2} .2236711{col 37}{space 1}    7.21{col 46}{space 3}0.000{col 54}{space 4} 1.173844{col 67}{space 3} 2.050619
{txt}{space 12} {c |}
{space 4}iscoco10 {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0763671{col 26}{space 2} .1167584{col 37}{space 1}   -0.65{col 46}{space 3}0.513{col 54}{space 4}-.3052094{col 67}{space 3} .1524752
{txt}{space 10}3  {c |}{col 14}{res}{space 2} -.254075{col 26}{space 2} .1226928{col 37}{space 1}   -2.07{col 46}{space 3}0.038{col 54}{space 4}-.4945485{col 67}{space 3}-.0136016
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.2025213{col 26}{space 2} .1690893{col 37}{space 1}   -1.20{col 46}{space 3}0.231{col 54}{space 4}-.5339303{col 67}{space 3} .1288877
{txt}{space 10}5  {c |}{col 14}{res}{space 2}-.6366133{col 26}{space 2}  .166462{col 37}{space 1}   -3.82{col 46}{space 3}0.000{col 54}{space 4}-.9628729{col 67}{space 3}-.3103537
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.8614743{col 26}{space 2} .2449286{col 37}{space 1}   -3.52{col 46}{space 3}0.000{col 54}{space 4}-1.341526{col 67}{space 3} -.381423
{txt}{space 10}7  {c |}{col 14}{res}{space 2}-.7040922{col 26}{space 2} .1405201{col 37}{space 1}   -5.01{col 46}{space 3}0.000{col 54}{space 4}-.9795065{col 67}{space 3}-.4286778
{txt}{space 10}8  {c |}{col 14}{res}{space 2}-.6878175{col 26}{space 2}  .156134{col 37}{space 1}   -4.41{col 46}{space 3}0.000{col 54}{space 4}-.9938345{col 67}{space 3}-.3818005
{txt}{space 10}9  {c |}{col 14}{res}{space 2} -.859038{col 26}{space 2}  .192272{col 37}{space 1}   -4.47{col 46}{space 3}0.000{col 54}{space 4}-1.235884{col 67}{space 3}-.4821917
{txt}{space 12} {c |}
{space 5}1.rural {c |}{col 14}{res}{space 2}-.1152484{col 26}{space 2} .0767972{col 37}{space 1}   -1.50{col 46}{space 3}0.133{col 54}{space 4}-.2657681{col 67}{space 3} .0352714
{txt}{space 3}1.married {c |}{col 14}{res}{space 2}-.0518359{col 26}{space 2} .0863994{col 37}{space 1}   -0.60{col 46}{space 3}0.549{col 54}{space 4}-.2211756{col 67}{space 3} .1175037
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 3.653886{col 26}{space 2} 7.642686{col 37}{space 1}    0.48{col 46}{space 3}0.633{col 54}{space 4} -11.3255{col 67}{space 3} 18.63328
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 15 26}Instrumented:{space 2}rtrd{p_end}
{p 0 15 26}Instruments:{space 3}eduyrs agea agesquared hinctnta ever_child lrscale brncntr 2.country 5.country 6.country 8.country 9.country 10.country 11.country 13.country 16.country 17.country 19.country 20.country 2.iscoco10 3.iscoco10 4.iscoco10 5.iscoco10 6.iscoco10 7.iscoco10 8.iscoco10 9.iscoco10 1.rural 1.married above_early above_full{p_end}

{com}. ivregress 2sls imbleco (rtrd=above_early above_full) eduyrs agea agesquared hinctnta ever_child lrscale brncntr i.country i.iscoco10 i.rural i.married if cntry!="CH", robust 
{res}{txt}note: 3.country identifies no observations in the sample
{res}
{txt}{col 1}Instrumental variables (2SLS) regression{col 51}Number of obs{col 67}= {res}     3,388
{txt}{col 1}{col 51}Wald chi2({res}30{txt}){col 67}= {res}    372.84
{txt}{col 1}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}{col 1}{col 51}R-squared{col 67}= {res}    0.0953
{txt}{col 51}Root MSE{col 67}=    {res} 2.1027

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     imbleco{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}rtrd {c |}{col 14}{res}{space 2}-.2881044{col 26}{space 2} .6815278{col 37}{space 1}   -0.42{col 46}{space 3}0.672{col 54}{space 4}-1.623874{col 67}{space 3} 1.047666
{txt}{space 6}eduyrs {c |}{col 14}{res}{space 2} .0446543{col 26}{space 2} .0111854{col 37}{space 1}    3.99{col 46}{space 3}0.000{col 54}{space 4} .0227314{col 67}{space 3} .0665772
{txt}{space 8}agea {c |}{col 14}{res}{space 2} .0823757{col 26}{space 2}  .288799{col 37}{space 1}    0.29{col 46}{space 3}0.775{col 54}{space 4}-.4836599{col 67}{space 3} .6484112
{txt}{space 2}agesquared {c |}{col 14}{res}{space 2}-.0005125{col 26}{space 2} .0027022{col 37}{space 1}   -0.19{col 46}{space 3}0.850{col 54}{space 4}-.0058087{col 67}{space 3} .0047836
{txt}{space 4}hinctnta {c |}{col 14}{res}{space 2} .0309534{col 26}{space 2}  .019714{col 37}{space 1}    1.57{col 46}{space 3}0.116{col 54}{space 4}-.0076853{col 67}{space 3}  .069592
{txt}{space 2}ever_child {c |}{col 14}{res}{space 2}-.2226566{col 26}{space 2} .1020859{col 37}{space 1}   -2.18{col 46}{space 3}0.029{col 54}{space 4}-.4227413{col 67}{space 3}-.0225719
{txt}{space 5}lrscale {c |}{col 14}{res}{space 2}-.1422652{col 26}{space 2} .0188992{col 37}{space 1}   -7.53{col 46}{space 3}0.000{col 54}{space 4} -.179307{col 67}{space 3}-.1052234
{txt}{space 5}brncntr {c |}{col 14}{res}{space 2}  .770468{col 26}{space 2} .1624249{col 37}{space 1}    4.74{col 46}{space 3}0.000{col 54}{space 4}  .452121{col 67}{space 3} 1.088815
{txt}{space 12} {c |}
{space 5}country {c |}
{space 9}BE  {c |}{col 14}{res}{space 2} .5224608{col 26}{space 2} .2170038{col 37}{space 1}    2.41{col 46}{space 3}0.016{col 54}{space 4} .0971411{col 67}{space 3} .9477806
{txt}{space 9}CH  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 9}DE  {c |}{col 14}{res}{space 2}  1.16077{col 26}{space 2} .1877577{col 37}{space 1}    6.18{col 46}{space 3}0.000{col 54}{space 4} .7927717{col 67}{space 3} 1.528768
{txt}{space 9}DK  {c |}{col 14}{res}{space 2} 1.108109{col 26}{space 2} .2185622{col 37}{space 1}    5.07{col 46}{space 3}0.000{col 54}{space 4} .6797354{col 67}{space 3} 1.536483
{txt}{space 9}ES  {c |}{col 14}{res}{space 2} .2851646{col 26}{space 2} .2312496{col 37}{space 1}    1.23{col 46}{space 3}0.218{col 54}{space 4}-.1680763{col 67}{space 3} .7384055
{txt}{space 9}FI  {c |}{col 14}{res}{space 2} .9350683{col 26}{space 2} .2014705{col 37}{space 1}    4.64{col 46}{space 3}0.000{col 54}{space 4} .5401934{col 67}{space 3} 1.329943
{txt}{space 9}FR  {c |}{col 14}{res}{space 2} .8666146{col 26}{space 2} .2283348{col 37}{space 1}    3.80{col 46}{space 3}0.000{col 54}{space 4} .4190866{col 67}{space 3} 1.314143
{txt}{space 9}GB  {c |}{col 14}{res}{space 2} .5416799{col 26}{space 2} .2182641{col 37}{space 1}    2.48{col 46}{space 3}0.013{col 54}{space 4} .1138902{col 67}{space 3} .9694697
{txt}{space 9}IE  {c |}{col 14}{res}{space 2} .5669041{col 26}{space 2} .2329934{col 37}{space 1}    2.43{col 46}{space 3}0.015{col 54}{space 4} .1102455{col 67}{space 3} 1.023563
{txt}{space 9}NL  {c |}{col 14}{res}{space 2} .7776884{col 26}{space 2} .1991798{col 37}{space 1}    3.90{col 46}{space 3}0.000{col 54}{space 4} .3873032{col 67}{space 3} 1.168074
{txt}{space 9}NO  {c |}{col 14}{res}{space 2} 1.178713{col 26}{space 2} .2238199{col 37}{space 1}    5.27{col 46}{space 3}0.000{col 54}{space 4}  .740034{col 67}{space 3} 1.617392
{txt}{space 9}PT  {c |}{col 14}{res}{space 2} 1.604974{col 26}{space 2} .2633274{col 37}{space 1}    6.09{col 46}{space 3}0.000{col 54}{space 4} 1.088862{col 67}{space 3} 2.121087
{txt}{space 9}SE  {c |}{col 14}{res}{space 2} 1.379783{col 26}{space 2} .2337954{col 37}{space 1}    5.90{col 46}{space 3}0.000{col 54}{space 4} .9215524{col 67}{space 3} 1.838014
{txt}{space 12} {c |}
{space 4}iscoco10 {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .0227052{col 26}{space 2} .1310369{col 37}{space 1}    0.17{col 46}{space 3}0.862{col 54}{space 4}-.2341225{col 67}{space 3} .2795329
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.3454127{col 26}{space 2} .1312962{col 37}{space 1}   -2.63{col 46}{space 3}0.009{col 54}{space 4}-.6027485{col 67}{space 3} -.088077
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.1217899{col 26}{space 2} .1892024{col 37}{space 1}   -0.64{col 46}{space 3}0.520{col 54}{space 4}-.4926197{col 67}{space 3} .2490399
{txt}{space 10}5  {c |}{col 14}{res}{space 2}-.3687271{col 26}{space 2} .1700581{col 37}{space 1}   -2.17{col 46}{space 3}0.030{col 54}{space 4}-.7020348{col 67}{space 3}-.0354194
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.7824789{col 26}{space 2} .2390202{col 37}{space 1}   -3.27{col 46}{space 3}0.001{col 54}{space 4} -1.25095{col 67}{space 3}-.3140079
{txt}{space 10}7  {c |}{col 14}{res}{space 2}-.5638605{col 26}{space 2} .1451671{col 37}{space 1}   -3.88{col 46}{space 3}0.000{col 54}{space 4}-.8483828{col 67}{space 3}-.2793381
{txt}{space 10}8  {c |}{col 14}{res}{space 2}-.5230141{col 26}{space 2} .1613605{col 37}{space 1}   -3.24{col 46}{space 3}0.001{col 54}{space 4}-.8392749{col 67}{space 3}-.2067533
{txt}{space 10}9  {c |}{col 14}{res}{space 2} -.531197{col 26}{space 2} .1944025{col 37}{space 1}   -2.73{col 46}{space 3}0.006{col 54}{space 4}-.9122188{col 67}{space 3}-.1501751
{txt}{space 12} {c |}
{space 5}1.rural {c |}{col 14}{res}{space 2} .0133546{col 26}{space 2} .0770105{col 37}{space 1}    0.17{col 46}{space 3}0.862{col 54}{space 4}-.1375832{col 67}{space 3} .1642925
{txt}{space 3}1.married {c |}{col 14}{res}{space 2} .0785478{col 26}{space 2} .0905057{col 37}{space 1}    0.87{col 46}{space 3}0.385{col 54}{space 4}-.0988401{col 67}{space 3} .2559357
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .4004222{col 26}{space 2} 7.878795{col 37}{space 1}    0.05{col 46}{space 3}0.959{col 54}{space 4}-15.04173{col 67}{space 3} 15.84258
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 15 26}Instrumented:{space 2}rtrd{p_end}
{p 0 15 26}Instruments:{space 3}eduyrs agea agesquared hinctnta ever_child lrscale brncntr 2.country 5.country 6.country 8.country 9.country 10.country 11.country 13.country 16.country 17.country 19.country 20.country 2.iscoco10 3.iscoco10 4.iscoco10 5.iscoco10 6.iscoco10 7.iscoco10 8.iscoco10 9.iscoco10 1.rural 1.married above_early above_full{p_end}

{com}. *w/o GB

. ivregress 2sls imbgeco (rtrd=above_early above_full) eduyrs agea agesquared hinctnta ever_child lrscale brncntr i.country i.iscoco10 i.rural i.married if cntry!="GB", robust 
{res}{txt}note: 11.country identifies no observations in the sample
{res}
{txt}{col 1}Instrumental variables (2SLS) regression{col 51}Number of obs{col 67}= {res}     3,351
{txt}{col 1}{col 51}Wald chi2({res}30{txt}){col 67}= {res}    688.88
{txt}{col 1}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}{col 1}{col 51}R-squared{col 67}= {res}    0.1589
{txt}{col 51}Root MSE{col 67}=    {res} 2.1824

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     imbgeco{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}rtrd {c |}{col 14}{res}{space 2}-.5897807{col 26}{space 2} .6554866{col 37}{space 1}   -0.90{col 46}{space 3}0.368{col 54}{space 4}-1.874511{col 67}{space 3} .6949494
{txt}{space 6}eduyrs {c |}{col 14}{res}{space 2} .0708487{col 26}{space 2} .0120795{col 37}{space 1}    5.87{col 46}{space 3}0.000{col 54}{space 4} .0471733{col 67}{space 3} .0945242
{txt}{space 8}agea {c |}{col 14}{res}{space 2} .0443054{col 26}{space 2}  .292848{col 37}{space 1}    0.15{col 46}{space 3}0.880{col 54}{space 4}-.5296662{col 67}{space 3}  .618277
{txt}{space 2}agesquared {c |}{col 14}{res}{space 2}-.0000362{col 26}{space 2} .0027253{col 37}{space 1}   -0.01{col 46}{space 3}0.989{col 54}{space 4}-.0053777{col 67}{space 3} .0053053
{txt}{space 4}hinctnta {c |}{col 14}{res}{space 2} .0596659{col 26}{space 2} .0201164{col 37}{space 1}    2.97{col 46}{space 3}0.003{col 54}{space 4} .0202386{col 67}{space 3} .0990933
{txt}{space 2}ever_child {c |}{col 14}{res}{space 2}-.0499712{col 26}{space 2} .1036292{col 37}{space 1}   -0.48{col 46}{space 3}0.630{col 54}{space 4}-.2530806{col 67}{space 3} .1531382
{txt}{space 5}lrscale {c |}{col 14}{res}{space 2}-.1312876{col 26}{space 2} .0200782{col 37}{space 1}   -6.54{col 46}{space 3}0.000{col 54}{space 4}-.1706402{col 67}{space 3} -.091935
{txt}{space 5}brncntr {c |}{col 14}{res}{space 2} .5425703{col 26}{space 2}  .163019{col 37}{space 1}    3.33{col 46}{space 3}0.001{col 54}{space 4} .2230588{col 67}{space 3} .8620817
{txt}{space 12} {c |}
{space 5}country {c |}
{space 9}BE  {c |}{col 14}{res}{space 2}-.4089728{col 26}{space 2} .2258252{col 37}{space 1}   -1.81{col 46}{space 3}0.070{col 54}{space 4} -.851582{col 67}{space 3} .0336365
{txt}{space 9}CH  {c |}{col 14}{res}{space 2} 1.216212{col 26}{space 2} .2268035{col 37}{space 1}    5.36{col 46}{space 3}0.000{col 54}{space 4} .7716853{col 67}{space 3} 1.660739
{txt}{space 9}DE  {c |}{col 14}{res}{space 2} .7497203{col 26}{space 2} .1982445{col 37}{space 1}    3.78{col 46}{space 3}0.000{col 54}{space 4} .3611681{col 67}{space 3} 1.138272
{txt}{space 9}DK  {c |}{col 14}{res}{space 2} .1792099{col 26}{space 2} .2338827{col 37}{space 1}    0.77{col 46}{space 3}0.444{col 54}{space 4}-.2791918{col 67}{space 3} .6376115
{txt}{space 9}ES  {c |}{col 14}{res}{space 2}  .706545{col 26}{space 2} .2495673{col 37}{space 1}    2.83{col 46}{space 3}0.005{col 54}{space 4} .2174022{col 67}{space 3} 1.195688
{txt}{space 9}FI  {c |}{col 14}{res}{space 2} .5707839{col 26}{space 2} .2090328{col 37}{space 1}    2.73{col 46}{space 3}0.006{col 54}{space 4} .1610872{col 67}{space 3} .9804806
{txt}{space 9}FR  {c |}{col 14}{res}{space 2}-.1156271{col 26}{space 2} .2305918{col 37}{space 1}   -0.50{col 46}{space 3}0.616{col 54}{space 4}-.5675787{col 67}{space 3} .3363246
{txt}{space 9}GB  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 9}IE  {c |}{col 14}{res}{space 2}  .128857{col 26}{space 2} .2387416{col 37}{space 1}    0.54{col 46}{space 3}0.589{col 54}{space 4}-.3390679{col 67}{space 3} .5967818
{txt}{space 9}NL  {c |}{col 14}{res}{space 2}-.1505993{col 26}{space 2} .2125678{col 37}{space 1}   -0.71{col 46}{space 3}0.479{col 54}{space 4}-.5672246{col 67}{space 3}  .266026
{txt}{space 9}NO  {c |}{col 14}{res}{space 2}  .588186{col 26}{space 2} .2345255{col 37}{space 1}    2.51{col 46}{space 3}0.012{col 54}{space 4} .1285245{col 67}{space 3} 1.047848
{txt}{space 9}PT  {c |}{col 14}{res}{space 2} .6307401{col 26}{space 2} .2885805{col 37}{space 1}    2.19{col 46}{space 3}0.029{col 54}{space 4} .0651328{col 67}{space 3} 1.196347
{txt}{space 9}SE  {c |}{col 14}{res}{space 2} .1787592{col 26}{space 2} .2452873{col 37}{space 1}    0.73{col 46}{space 3}0.466{col 54}{space 4}-.3019951{col 67}{space 3} .6595135
{txt}{space 12} {c |}
{space 4}iscoco10 {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.1536256{col 26}{space 2} .1295588{col 37}{space 1}   -1.19{col 46}{space 3}0.236{col 54}{space 4}-.4075562{col 67}{space 3}  .100305
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.3587815{col 26}{space 2} .1322053{col 37}{space 1}   -2.71{col 46}{space 3}0.007{col 54}{space 4}-.6178991{col 67}{space 3}-.0996638
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.5200134{col 26}{space 2} .1989093{col 37}{space 1}   -2.61{col 46}{space 3}0.009{col 54}{space 4}-.9098685{col 67}{space 3}-.1301583
{txt}{space 10}5  {c |}{col 14}{res}{space 2}-.9948669{col 26}{space 2}  .186123{col 37}{space 1}   -5.35{col 46}{space 3}0.000{col 54}{space 4}-1.359661{col 67}{space 3}-.6300726
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-1.136644{col 26}{space 2} .2335437{col 37}{space 1}   -4.87{col 46}{space 3}0.000{col 54}{space 4}-1.594381{col 67}{space 3}-.6789069
{txt}{space 10}7  {c |}{col 14}{res}{space 2}-1.082699{col 26}{space 2} .1484169{col 37}{space 1}   -7.29{col 46}{space 3}0.000{col 54}{space 4}-1.373591{col 67}{space 3}-.7918076
{txt}{space 10}8  {c |}{col 14}{res}{space 2}-1.363653{col 26}{space 2} .1730007{col 37}{space 1}   -7.88{col 46}{space 3}0.000{col 54}{space 4}-1.702728{col 67}{space 3}-1.024578
{txt}{space 10}9  {c |}{col 14}{res}{space 2}-1.160849{col 26}{space 2} .2148156{col 37}{space 1}   -5.40{col 46}{space 3}0.000{col 54}{space 4}-1.581879{col 67}{space 3}-.7398177
{txt}{space 12} {c |}
{space 5}1.rural {c |}{col 14}{res}{space 2}-.1582547{col 26}{space 2} .0807155{col 37}{space 1}   -1.96{col 46}{space 3}0.050{col 54}{space 4}-.3164542{col 67}{space 3}-.0000553
{txt}{space 3}1.married {c |}{col 14}{res}{space 2}-.0023918{col 26}{space 2} .0919199{col 37}{space 1}   -0.03{col 46}{space 3}0.979{col 54}{space 4}-.1825514{col 67}{space 3} .1777679
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}  2.38492{col 26}{space 2} 8.020657{col 37}{space 1}    0.30{col 46}{space 3}0.766{col 54}{space 4}-13.33528{col 67}{space 3} 18.10512
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 15 26}Instrumented:{space 2}rtrd{p_end}
{p 0 15 26}Instruments:{space 3}eduyrs agea agesquared hinctnta ever_child lrscale brncntr 2.country 3.country 5.country 6.country 8.country 9.country 10.country 13.country 16.country 17.country 19.country 20.country 2.iscoco10 3.iscoco10 4.iscoco10 5.iscoco10 6.iscoco10 7.iscoco10 8.iscoco10 9.iscoco10 1.rural 1.married above_early above_full{p_end}

{com}. ivregress 2sls imtcjob (rtrd=above_early above_full) eduyrs agea agesquared hinctnta ever_child lrscale brncntr i.country i.iscoco10 i.rural i.married if cntry!="GB", robust 
{res}{txt}note: 11.country identifies no observations in the sample
{res}
{txt}{col 1}Instrumental variables (2SLS) regression{col 51}Number of obs{col 67}= {res}     3,343
{txt}{col 1}{col 51}Wald chi2({res}30{txt}){col 67}= {res}    468.96
{txt}{col 1}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}{col 1}{col 51}R-squared{col 67}= {res}    0.1287
{txt}{col 51}Root MSE{col 67}=    {res} 2.0141

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     imtcjob{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}rtrd {c |}{col 14}{res}{space 2} .0223149{col 26}{space 2} .6359841{col 37}{space 1}    0.04{col 46}{space 3}0.972{col 54}{space 4}-1.224191{col 67}{space 3} 1.268821
{txt}{space 6}eduyrs {c |}{col 14}{res}{space 2} .0502406{col 26}{space 2} .0110887{col 37}{space 1}    4.53{col 46}{space 3}0.000{col 54}{space 4} .0285071{col 67}{space 3}  .071974
{txt}{space 8}agea {c |}{col 14}{res}{space 2} .0876053{col 26}{space 2} .2812176{col 37}{space 1}    0.31{col 46}{space 3}0.755{col 54}{space 4} -.463571{col 67}{space 3} .6387817
{txt}{space 2}agesquared {c |}{col 14}{res}{space 2}-.0007467{col 26}{space 2} .0026221{col 37}{space 1}   -0.28{col 46}{space 3}0.776{col 54}{space 4}-.0058858{col 67}{space 3} .0043925
{txt}{space 4}hinctnta {c |}{col 14}{res}{space 2} .0285984{col 26}{space 2} .0187768{col 37}{space 1}    1.52{col 46}{space 3}0.128{col 54}{space 4}-.0082034{col 67}{space 3} .0654001
{txt}{space 2}ever_child {c |}{col 14}{res}{space 2} .0390882{col 26}{space 2} .0988984{col 37}{space 1}    0.40{col 46}{space 3}0.693{col 54}{space 4}-.1547491{col 67}{space 3} .2329255
{txt}{space 5}lrscale {c |}{col 14}{res}{space 2}-.0351702{col 26}{space 2} .0184361{col 37}{space 1}   -1.91{col 46}{space 3}0.056{col 54}{space 4}-.0713043{col 67}{space 3}  .000964
{txt}{space 5}brncntr {c |}{col 14}{res}{space 2} .5152853{col 26}{space 2} .1532758{col 37}{space 1}    3.36{col 46}{space 3}0.001{col 54}{space 4} .2148703{col 67}{space 3} .8157004
{txt}{space 12} {c |}
{space 5}country {c |}
{space 9}BE  {c |}{col 14}{res}{space 2} .0831619{col 26}{space 2} .2146919{col 37}{space 1}    0.39{col 46}{space 3}0.698{col 54}{space 4}-.3376265{col 67}{space 3} .5039502
{txt}{space 9}CH  {c |}{col 14}{res}{space 2} 1.021608{col 26}{space 2} .2167709{col 37}{space 1}    4.71{col 46}{space 3}0.000{col 54}{space 4} .5967452{col 67}{space 3} 1.446472
{txt}{space 9}DE  {c |}{col 14}{res}{space 2} 1.188837{col 26}{space 2} .1864348{col 37}{space 1}    6.38{col 46}{space 3}0.000{col 54}{space 4} .8234318{col 67}{space 3} 1.554243
{txt}{space 9}DK  {c |}{col 14}{res}{space 2} .9688373{col 26}{space 2}  .210732{col 37}{space 1}    4.60{col 46}{space 3}0.000{col 54}{space 4} .5558102{col 67}{space 3} 1.381864
{txt}{space 9}ES  {c |}{col 14}{res}{space 2} .3928339{col 26}{space 2} .2474362{col 37}{space 1}    1.59{col 46}{space 3}0.112{col 54}{space 4} -.092132{col 67}{space 3} .8777999
{txt}{space 9}FI  {c |}{col 14}{res}{space 2} 1.153459{col 26}{space 2} .1951695{col 37}{space 1}    5.91{col 46}{space 3}0.000{col 54}{space 4}  .770934{col 67}{space 3} 1.535984
{txt}{space 9}FR  {c |}{col 14}{res}{space 2} .6138086{col 26}{space 2} .2256542{col 37}{space 1}    2.72{col 46}{space 3}0.007{col 54}{space 4} .1715345{col 67}{space 3} 1.056083
{txt}{space 9}GB  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 9}IE  {c |}{col 14}{res}{space 2} .1095221{col 26}{space 2} .2228317{col 37}{space 1}    0.49{col 46}{space 3}0.623{col 54}{space 4}-.3272199{col 67}{space 3} .5462641
{txt}{space 9}NL  {c |}{col 14}{res}{space 2} .4023614{col 26}{space 2} .1975736{col 37}{space 1}    2.04{col 46}{space 3}0.042{col 54}{space 4} .0151242{col 67}{space 3} .7895986
{txt}{space 9}NO  {c |}{col 14}{res}{space 2} 1.567835{col 26}{space 2}  .218437{col 37}{space 1}    7.18{col 46}{space 3}0.000{col 54}{space 4} 1.139706{col 67}{space 3} 1.995963
{txt}{space 9}PT  {c |}{col 14}{res}{space 2} .9790245{col 26}{space 2} .2732204{col 37}{space 1}    3.58{col 46}{space 3}0.000{col 54}{space 4} .4435224{col 67}{space 3} 1.514527
{txt}{space 9}SE  {c |}{col 14}{res}{space 2} 1.697401{col 26}{space 2} .2227471{col 37}{space 1}    7.62{col 46}{space 3}0.000{col 54}{space 4} 1.260825{col 67}{space 3} 2.133978
{txt}{space 12} {c |}
{space 4}iscoco10 {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.1019123{col 26}{space 2} .1147731{col 37}{space 1}   -0.89{col 46}{space 3}0.375{col 54}{space 4}-.3268634{col 67}{space 3} .1230387
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.2336543{col 26}{space 2} .1191584{col 37}{space 1}   -1.96{col 46}{space 3}0.050{col 54}{space 4}-.4672006{col 67}{space 3}-.0001081
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.1891516{col 26}{space 2} .1732925{col 37}{space 1}   -1.09{col 46}{space 3}0.275{col 54}{space 4}-.5287986{col 67}{space 3} .1504954
{txt}{space 10}5  {c |}{col 14}{res}{space 2} -.629879{col 26}{space 2} .1651132{col 37}{space 1}   -3.81{col 46}{space 3}0.000{col 54}{space 4}-.9534949{col 67}{space 3}-.3062632
{txt}{space 10}6  {c |}{col 14}{res}{space 2} -.823789{col 26}{space 2} .2403753{col 37}{space 1}   -3.43{col 46}{space 3}0.001{col 54}{space 4}-1.294916{col 67}{space 3}-.3526622
{txt}{space 10}7  {c |}{col 14}{res}{space 2}-.6961096{col 26}{space 2} .1378216{col 37}{space 1}   -5.05{col 46}{space 3}0.000{col 54}{space 4} -.966235{col 67}{space 3}-.4259842
{txt}{space 10}8  {c |}{col 14}{res}{space 2} -.777816{col 26}{space 2} .1551818{col 37}{space 1}   -5.01{col 46}{space 3}0.000{col 54}{space 4}-1.081967{col 67}{space 3}-.4736653
{txt}{space 10}9  {c |}{col 14}{res}{space 2}-.9676221{col 26}{space 2}  .198182{col 37}{space 1}   -4.88{col 46}{space 3}0.000{col 54}{space 4}-1.356052{col 67}{space 3}-.5791924
{txt}{space 12} {c |}
{space 5}1.rural {c |}{col 14}{res}{space 2}-.1276037{col 26}{space 2} .0763218{col 37}{space 1}   -1.67{col 46}{space 3}0.095{col 54}{space 4}-.2771917{col 67}{space 3} .0219843
{txt}{space 3}1.married {c |}{col 14}{res}{space 2} -.012344{col 26}{space 2} .0855972{col 37}{space 1}   -0.14{col 46}{space 3}0.885{col 54}{space 4}-.1801115{col 67}{space 3} .1554235
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 1.163032{col 26}{space 2} 7.676748{col 37}{space 1}    0.15{col 46}{space 3}0.880{col 54}{space 4}-13.88312{col 67}{space 3} 16.20918
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 15 26}Instrumented:{space 2}rtrd{p_end}
{p 0 15 26}Instruments:{space 3}eduyrs agea agesquared hinctnta ever_child lrscale brncntr 2.country 3.country 5.country 6.country 8.country 9.country 10.country 13.country 16.country 17.country 19.country 20.country 2.iscoco10 3.iscoco10 4.iscoco10 5.iscoco10 6.iscoco10 7.iscoco10 8.iscoco10 9.iscoco10 1.rural 1.married above_early above_full{p_end}

{com}. ivregress 2sls imbleco (rtrd=above_early above_full) eduyrs agea agesquared hinctnta ever_child lrscale brncntr i.country i.iscoco10 i.rural i.married if cntry!="GB", robust 
{res}{txt}note: 11.country identifies no observations in the sample
{res}
{txt}{col 1}Instrumental variables (2SLS) regression{col 51}Number of obs{col 67}= {res}     3,335
{txt}{col 1}{col 51}Wald chi2({res}30{txt}){col 67}= {res}    367.45
{txt}{col 1}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}{col 1}{col 51}R-squared{col 67}= {res}    0.0972
{txt}{col 51}Root MSE{col 67}=    {res} 2.0854

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     imbleco{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}rtrd {c |}{col 14}{res}{space 2}-.1710233{col 26}{space 2} .6588662{col 37}{space 1}   -0.26{col 46}{space 3}0.795{col 54}{space 4}-1.462377{col 67}{space 3} 1.120331
{txt}{space 6}eduyrs {c |}{col 14}{res}{space 2} .0308408{col 26}{space 2} .0115407{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0082215{col 67}{space 3} .0534601
{txt}{space 8}agea {c |}{col 14}{res}{space 2} .1200877{col 26}{space 2} .2904031{col 37}{space 1}    0.41{col 46}{space 3}0.679{col 54}{space 4}-.4490918{col 67}{space 3} .6892672
{txt}{space 2}agesquared {c |}{col 14}{res}{space 2} -.000909{col 26}{space 2} .0027084{col 37}{space 1}   -0.34{col 46}{space 3}0.737{col 54}{space 4}-.0062174{col 67}{space 3} .0043993
{txt}{space 4}hinctnta {c |}{col 14}{res}{space 2} .0266202{col 26}{space 2}  .019154{col 37}{space 1}    1.39{col 46}{space 3}0.165{col 54}{space 4}-.0109209{col 67}{space 3} .0641614
{txt}{space 2}ever_child {c |}{col 14}{res}{space 2}-.2039817{col 26}{space 2} .1016587{col 37}{space 1}   -2.01{col 46}{space 3}0.045{col 54}{space 4} -.403229{col 67}{space 3}-.0047343
{txt}{space 5}lrscale {c |}{col 14}{res}{space 2}-.1478659{col 26}{space 2} .0189448{col 37}{space 1}   -7.81{col 46}{space 3}0.000{col 54}{space 4} -.184997{col 67}{space 3}-.1107347
{txt}{space 5}brncntr {c |}{col 14}{res}{space 2} .7239215{col 26}{space 2} .1533897{col 37}{space 1}    4.72{col 46}{space 3}0.000{col 54}{space 4} .4232832{col 67}{space 3}  1.02456
{txt}{space 12} {c |}
{space 5}country {c |}
{space 9}BE  {c |}{col 14}{res}{space 2} .4998727{col 26}{space 2} .2167784{col 37}{space 1}    2.31{col 46}{space 3}0.021{col 54}{space 4} .0749949{col 67}{space 3} .9247505
{txt}{space 9}CH  {c |}{col 14}{res}{space 2} .6333963{col 26}{space 2} .2274752{col 37}{space 1}    2.78{col 46}{space 3}0.005{col 54}{space 4} .1875532{col 67}{space 3} 1.079239
{txt}{space 9}DE  {c |}{col 14}{res}{space 2}  1.17444{col 26}{space 2} .1879266{col 37}{space 1}    6.25{col 46}{space 3}0.000{col 54}{space 4} .8061103{col 67}{space 3} 1.542769
{txt}{space 9}DK  {c |}{col 14}{res}{space 2} 1.117744{col 26}{space 2} .2181679{col 37}{space 1}    5.12{col 46}{space 3}0.000{col 54}{space 4} .6901425{col 67}{space 3} 1.545345
{txt}{space 9}ES  {c |}{col 14}{res}{space 2} .2696641{col 26}{space 2} .2313483{col 37}{space 1}    1.17{col 46}{space 3}0.244{col 54}{space 4}-.1837703{col 67}{space 3} .7230984
{txt}{space 9}FI  {c |}{col 14}{res}{space 2} .9430083{col 26}{space 2} .2014265{col 37}{space 1}    4.68{col 46}{space 3}0.000{col 54}{space 4} .5482197{col 67}{space 3} 1.337797
{txt}{space 9}FR  {c |}{col 14}{res}{space 2} .8466216{col 26}{space 2} .2267365{col 37}{space 1}    3.73{col 46}{space 3}0.000{col 54}{space 4} .4022261{col 67}{space 3} 1.291017
{txt}{space 9}GB  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 9}IE  {c |}{col 14}{res}{space 2} .5856321{col 26}{space 2} .2321179{col 37}{space 1}    2.52{col 46}{space 3}0.012{col 54}{space 4} .1306894{col 67}{space 3} 1.040575
{txt}{space 9}NL  {c |}{col 14}{res}{space 2} .7962845{col 26}{space 2} .1991771{col 37}{space 1}    4.00{col 46}{space 3}0.000{col 54}{space 4} .4059046{col 67}{space 3} 1.186665
{txt}{space 9}NO  {c |}{col 14}{res}{space 2} 1.193461{col 26}{space 2} .2229149{col 37}{space 1}    5.35{col 46}{space 3}0.000{col 54}{space 4} .7565556{col 67}{space 3} 1.630366
{txt}{space 9}PT  {c |}{col 14}{res}{space 2} 1.550657{col 26}{space 2} .2630517{col 37}{space 1}    5.89{col 46}{space 3}0.000{col 54}{space 4} 1.035085{col 67}{space 3} 2.066229
{txt}{space 9}SE  {c |}{col 14}{res}{space 2} 1.403383{col 26}{space 2} .2343593{col 37}{space 1}    5.99{col 46}{space 3}0.000{col 54}{space 4}  .944047{col 67}{space 3} 1.862719
{txt}{space 12} {c |}
{space 4}iscoco10 {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0510099{col 26}{space 2} .1292733{col 37}{space 1}   -0.39{col 46}{space 3}0.693{col 54}{space 4}-.3043808{col 67}{space 3}  .202361
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.4125138{col 26}{space 2} .1271531{col 37}{space 1}   -3.24{col 46}{space 3}0.001{col 54}{space 4}-.6617293{col 67}{space 3}-.1632982
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.2398763{col 26}{space 2} .1909289{col 37}{space 1}   -1.26{col 46}{space 3}0.209{col 54}{space 4}  -.61409{col 67}{space 3} .1343374
{txt}{space 10}5  {c |}{col 14}{res}{space 2}-.5343596{col 26}{space 2} .1719123{col 37}{space 1}   -3.11{col 46}{space 3}0.002{col 54}{space 4}-.8713015{col 67}{space 3}-.1974176
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.8125366{col 26}{space 2} .2385451{col 37}{space 1}   -3.41{col 46}{space 3}0.001{col 54}{space 4}-1.280076{col 67}{space 3}-.3449969
{txt}{space 10}7  {c |}{col 14}{res}{space 2}-.7532573{col 26}{space 2} .1422463{col 37}{space 1}   -5.30{col 46}{space 3}0.000{col 54}{space 4}-1.032055{col 67}{space 3}-.4744596
{txt}{space 10}8  {c |}{col 14}{res}{space 2}-.6435853{col 26}{space 2} .1611825{col 37}{space 1}   -3.99{col 46}{space 3}0.000{col 54}{space 4}-.9594972{col 67}{space 3}-.3276735
{txt}{space 10}9  {c |}{col 14}{res}{space 2}-.7715922{col 26}{space 2} .1966214{col 37}{space 1}   -3.92{col 46}{space 3}0.000{col 54}{space 4}-1.156963{col 67}{space 3}-.3862212
{txt}{space 12} {c |}
{space 5}1.rural {c |}{col 14}{res}{space 2} -.005358{col 26}{space 2} .0775004{col 37}{space 1}   -0.07{col 46}{space 3}0.945{col 54}{space 4} -.157256{col 67}{space 3}   .14654
{txt}{space 3}1.married {c |}{col 14}{res}{space 2}  .119995{col 26}{space 2} .0908155{col 37}{space 1}    1.32{col 46}{space 3}0.186{col 54}{space 4}-.0580001{col 67}{space 3} .2979902
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.1094117{col 26}{space 2} 7.936712{col 37}{space 1}   -0.01{col 46}{space 3}0.989{col 54}{space 4}-15.66508{col 67}{space 3} 15.44626
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 15 26}Instrumented:{space 2}rtrd{p_end}
{p 0 15 26}Instruments:{space 3}eduyrs agea agesquared hinctnta ever_child lrscale brncntr 2.country 3.country 5.country 6.country 8.country 9.country 10.country 13.country 16.country 17.country 19.country 20.country 2.iscoco10 3.iscoco10 4.iscoco10 5.iscoco10 6.iscoco10 7.iscoco10 8.iscoco10 9.iscoco10 1.rural 1.married above_early above_full{p_end}

{com}. ***age effec on opinion

. regress imbgeco rtrd eduyrs agea agesquared hinctnta ever_child lrscale brncntr i.country i.iscoco10 i.rural i.married, robust 

{txt}Linear regression                               Number of obs     = {res}     3,616
                                                {txt}F(31, 3584)       =  {res}    23.66
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1623
                                                {txt}Root MSE          =    {res} 2.1932

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     imbgeco{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}rtrd {c |}{col 14}{res}{space 2}-.0856695{col 26}{space 2} .1208793{col 37}{space 1}   -0.71{col 46}{space 3}0.479{col 54}{space 4}-.3226687{col 67}{space 3} .1513296
{txt}{space 6}eduyrs {c |}{col 14}{res}{space 2} .0742222{col 26}{space 2} .0114533{col 37}{space 1}    6.48{col 46}{space 3}0.000{col 54}{space 4} .0517666{col 67}{space 3} .0966779
{txt}{space 8}agea {c |}{col 14}{res}{space 2} .3097053{col 26}{space 2} .1540532{col 37}{space 1}    2.01{col 46}{space 3}0.044{col 54}{space 4} .0076646{col 67}{space 3}  .611746
{txt}{space 2}agesquared {c |}{col 14}{res}{space 2}-.0024876{col 26}{space 2} .0013113{col 37}{space 1}   -1.90{col 46}{space 3}0.058{col 54}{space 4}-.0050585{col 67}{space 3} .0000833
{txt}{space 4}hinctnta {c |}{col 14}{res}{space 2} .0716264{col 26}{space 2} .0179518{col 37}{space 1}    3.99{col 46}{space 3}0.000{col 54}{space 4} .0364296{col 67}{space 3} .1068232
{txt}{space 2}ever_child {c |}{col 14}{res}{space 2}-.0775405{col 26}{space 2} .0996729{col 37}{space 1}   -0.78{col 46}{space 3}0.437{col 54}{space 4}-.2729617{col 67}{space 3} .1178808
{txt}{space 5}lrscale {c |}{col 14}{res}{space 2}-.1351727{col 26}{space 2} .0195325{col 37}{space 1}   -6.92{col 46}{space 3}0.000{col 54}{space 4}-.1734686{col 67}{space 3}-.0968768
{txt}{space 5}brncntr {c |}{col 14}{res}{space 2} .6741993{col 26}{space 2} .1509285{col 37}{space 1}    4.47{col 46}{space 3}0.000{col 54}{space 4} .3782849{col 67}{space 3} .9701138
{txt}{space 12} {c |}
{space 5}country {c |}
{space 9}BE  {c |}{col 14}{res}{space 2}-.4312909{col 26}{space 2}  .225239{col 37}{space 1}   -1.91{col 46}{space 3}0.056{col 54}{space 4}-.8729003{col 67}{space 3} .0103185
{txt}{space 9}CH  {c |}{col 14}{res}{space 2} 1.255888{col 26}{space 2} .2226644{col 37}{space 1}    5.64{col 46}{space 3}0.000{col 54}{space 4} .8193264{col 67}{space 3}  1.69245
{txt}{space 9}DE  {c |}{col 14}{res}{space 2} .7502589{col 26}{space 2} .2005403{col 37}{space 1}    3.74{col 46}{space 3}0.000{col 54}{space 4} .3570744{col 67}{space 3} 1.143443
{txt}{space 9}DK  {c |}{col 14}{res}{space 2} .2072983{col 26}{space 2} .2353427{col 37}{space 1}    0.88{col 46}{space 3}0.378{col 54}{space 4}-.2541207{col 67}{space 3} .6687173
{txt}{space 9}ES  {c |}{col 14}{res}{space 2} .7493926{col 26}{space 2} .2453225{col 37}{space 1}    3.05{col 46}{space 3}0.002{col 54}{space 4}  .268407{col 67}{space 3} 1.230378
{txt}{space 9}FI  {c |}{col 14}{res}{space 2} .5570565{col 26}{space 2} .2115014{col 37}{space 1}    2.63{col 46}{space 3}0.008{col 54}{space 4} .1423813{col 67}{space 3} .9717317
{txt}{space 9}FR  {c |}{col 14}{res}{space 2}-.1874992{col 26}{space 2}  .222266{col 37}{space 1}   -0.84{col 46}{space 3}0.399{col 54}{space 4}-.6232796{col 67}{space 3} .2482813
{txt}{space 9}GB  {c |}{col 14}{res}{space 2}  -.22526{col 26}{space 2} .2244125{col 37}{space 1}   -1.00{col 46}{space 3}0.316{col 54}{space 4}-.6652491{col 67}{space 3} .2147291
{txt}{space 9}IE  {c |}{col 14}{res}{space 2} .1454075{col 26}{space 2} .2383112{col 37}{space 1}    0.61{col 46}{space 3}0.542{col 54}{space 4}-.3218318{col 67}{space 3} .6126467
{txt}{space 9}NL  {c |}{col 14}{res}{space 2}-.1226701{col 26}{space 2}  .210874{col 37}{space 1}   -0.58{col 46}{space 3}0.561{col 54}{space 4}-.5361152{col 67}{space 3}  .290775
{txt}{space 9}NO  {c |}{col 14}{res}{space 2} .6628415{col 26}{space 2} .2178045{col 37}{space 1}    3.04{col 46}{space 3}0.002{col 54}{space 4} .2358083{col 67}{space 3} 1.089875
{txt}{space 9}PT  {c |}{col 14}{res}{space 2} .6289753{col 26}{space 2} .2892856{col 37}{space 1}    2.17{col 46}{space 3}0.030{col 54}{space 4} .0617945{col 67}{space 3} 1.196156
{txt}{space 9}SE  {c |}{col 14}{res}{space 2} .2356468{col 26}{space 2} .2297235{col 37}{space 1}    1.03{col 46}{space 3}0.305{col 54}{space 4}-.2147552{col 67}{space 3} .6860487
{txt}{space 12} {c |}
{space 4}iscoco10 {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0708977{col 26}{space 2} .1253935{col 37}{space 1}   -0.57{col 46}{space 3}0.572{col 54}{space 4}-.3167475{col 67}{space 3} .1749521
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.2961476{col 26}{space 2} .1296813{col 37}{space 1}   -2.28{col 46}{space 3}0.022{col 54}{space 4} -.550404{col 67}{space 3}-.0418911
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.4708998{col 26}{space 2} .1895182{col 37}{space 1}   -2.48{col 46}{space 3}0.013{col 54}{space 4}-.8424741{col 67}{space 3}-.0993255
{txt}{space 10}5  {c |}{col 14}{res}{space 2}-.8723536{col 26}{space 2} .1792367{col 37}{space 1}   -4.87{col 46}{space 3}0.000{col 54}{space 4} -1.22377{col 67}{space 3}-.5209374
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.9425822{col 26}{space 2} .2138396{col 37}{space 1}   -4.41{col 46}{space 3}0.000{col 54}{space 4}-1.361842{col 67}{space 3}-.5233228
{txt}{space 10}7  {c |}{col 14}{res}{space 2}-1.000745{col 26}{space 2} .1446736{col 37}{space 1}   -6.92{col 46}{space 3}0.000{col 54}{space 4}-1.284396{col 67}{space 3} -.717094
{txt}{space 10}8  {c |}{col 14}{res}{space 2}-1.263959{col 26}{space 2} .1650803{col 37}{space 1}   -7.66{col 46}{space 3}0.000{col 54}{space 4}-1.587619{col 67}{space 3} -.940298
{txt}{space 10}9  {c |}{col 14}{res}{space 2} -.931962{col 26}{space 2} .2005492{col 37}{space 1}   -4.65{col 46}{space 3}0.000{col 54}{space 4}-1.325164{col 67}{space 3}  -.53876
{txt}{space 12} {c |}
{space 5}1.rural {c |}{col 14}{res}{space 2}-.1585721{col 26}{space 2} .0773987{col 37}{space 1}   -2.05{col 46}{space 3}0.041{col 54}{space 4} -.310322{col 67}{space 3}-.0068222
{txt}{space 3}1.married {c |}{col 14}{res}{space 2}-.0372738{col 26}{space 2} .0854786{col 37}{space 1}   -0.44{col 46}{space 3}0.663{col 54}{space 4}-.2048655{col 67}{space 3} .1303178
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-5.099486{col 26}{space 2} 4.531388{col 37}{space 1}   -1.13{col 46}{space 3}0.261{col 54}{space 4}-13.98384{col 67}{space 3} 3.784872
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. regress imtcjob rtrd eduyrs agea agesquared hinctnta ever_child lrscale brncntr i.country i.iscoco10 i.rural i.married, robust 

{txt}Linear regression                               Number of obs     = {res}     3,607
                                                {txt}F(31, 3575)       =  {res}    16.12
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1276
                                                {txt}Root MSE          =    {res} 2.0389

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     imtcjob{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}rtrd {c |}{col 14}{res}{space 2}-.0119053{col 26}{space 2} .1154426{col 37}{space 1}   -0.10{col 46}{space 3}0.918{col 54}{space 4}-.2382454{col 67}{space 3} .2144347
{txt}{space 6}eduyrs {c |}{col 14}{res}{space 2} .0504099{col 26}{space 2} .0103811{col 37}{space 1}    4.86{col 46}{space 3}0.000{col 54}{space 4} .0300564{col 67}{space 3} .0707635
{txt}{space 8}agea {c |}{col 14}{res}{space 2} .1308364{col 26}{space 2}  .142788{col 37}{space 1}    0.92{col 46}{space 3}0.360{col 54}{space 4}-.1491177{col 67}{space 3} .4107906
{txt}{space 2}agesquared {c |}{col 14}{res}{space 2}-.0010908{col 26}{space 2} .0012186{col 37}{space 1}   -0.90{col 46}{space 3}0.371{col 54}{space 4}-.0034799{col 67}{space 3} .0012984
{txt}{space 4}hinctnta {c |}{col 14}{res}{space 2} .0366918{col 26}{space 2} .0166334{col 37}{space 1}    2.21{col 46}{space 3}0.027{col 54}{space 4} .0040799{col 67}{space 3} .0693038
{txt}{space 2}ever_child {c |}{col 14}{res}{space 2} .0147404{col 26}{space 2} .0956641{col 37}{space 1}    0.15{col 46}{space 3}0.878{col 54}{space 4}-.1728213{col 67}{space 3} .2023021
{txt}{space 5}lrscale {c |}{col 14}{res}{space 2}-.0382438{col 26}{space 2} .0180417{col 37}{space 1}   -2.12{col 46}{space 3}0.034{col 54}{space 4}-.0736169{col 67}{space 3}-.0028708
{txt}{space 5}brncntr {c |}{col 14}{res}{space 2} .6019266{col 26}{space 2} .1412077{col 37}{space 1}    4.26{col 46}{space 3}0.000{col 54}{space 4} .3250709{col 67}{space 3} .8787822
{txt}{space 12} {c |}
{space 5}country {c |}
{space 9}BE  {c |}{col 14}{res}{space 2} .0845216{col 26}{space 2} .2125538{col 37}{space 1}    0.40{col 46}{space 3}0.691{col 54}{space 4}-.3322173{col 67}{space 3} .5012604
{txt}{space 9}CH  {c |}{col 14}{res}{space 2} 1.012092{col 26}{space 2} .2119128{col 37}{space 1}    4.78{col 46}{space 3}0.000{col 54}{space 4} .5966093{col 67}{space 3} 1.427574
{txt}{space 9}DE  {c |}{col 14}{res}{space 2} 1.183817{col 26}{space 2} .1865948{col 37}{space 1}    6.34{col 46}{space 3}0.000{col 54}{space 4} .8179744{col 67}{space 3}  1.54966
{txt}{space 9}DK  {c |}{col 14}{res}{space 2} .9646096{col 26}{space 2} .2092343{col 37}{space 1}    4.61{col 46}{space 3}0.000{col 54}{space 4} .5543791{col 67}{space 3}  1.37484
{txt}{space 9}ES  {c |}{col 14}{res}{space 2} .3941377{col 26}{space 2} .2408794{col 37}{space 1}    1.64{col 46}{space 3}0.102{col 54}{space 4}-.0781371{col 67}{space 3} .8664124
{txt}{space 9}FI  {c |}{col 14}{res}{space 2} 1.150243{col 26}{space 2}  .195708{col 37}{space 1}    5.88{col 46}{space 3}0.000{col 54}{space 4} .7665323{col 67}{space 3} 1.533953
{txt}{space 9}FR  {c |}{col 14}{res}{space 2} .6013598{col 26}{space 2} .2132166{col 37}{space 1}    2.82{col 46}{space 3}0.005{col 54}{space 4} .1833215{col 67}{space 3} 1.019398
{txt}{space 9}GB  {c |}{col 14}{res}{space 2} .2630672{col 26}{space 2}  .213914{col 37}{space 1}    1.23{col 46}{space 3}0.219{col 54}{space 4}-.1563386{col 67}{space 3} .6824729
{txt}{space 9}IE  {c |}{col 14}{res}{space 2}  .092981{col 26}{space 2} .2198511{col 37}{space 1}    0.42{col 46}{space 3}0.672{col 54}{space 4}-.3380652{col 67}{space 3} .5240272
{txt}{space 9}NL  {c |}{col 14}{res}{space 2} .3926327{col 26}{space 2} .1945914{col 37}{space 1}    2.02{col 46}{space 3}0.044{col 54}{space 4} .0111114{col 67}{space 3} .7741541
{txt}{space 9}NO  {c |}{col 14}{res}{space 2} 1.564346{col 26}{space 2} .2008616{col 37}{space 1}    7.79{col 46}{space 3}0.000{col 54}{space 4} 1.170532{col 67}{space 3} 1.958161
{txt}{space 9}PT  {c |}{col 14}{res}{space 2}  .978318{col 26}{space 2} .2742713{col 37}{space 1}    3.57{col 46}{space 3}0.000{col 54}{space 4} .4405741{col 67}{space 3} 1.516062
{txt}{space 9}SE  {c |}{col 14}{res}{space 2} 1.678684{col 26}{space 2} .2048425{col 37}{space 1}    8.20{col 46}{space 3}0.000{col 54}{space 4} 1.277065{col 67}{space 3} 2.080304
{txt}{space 12} {c |}
{space 4}iscoco10 {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0779745{col 26}{space 2}  .111777{col 37}{space 1}   -0.70{col 46}{space 3}0.485{col 54}{space 4}-.2971276{col 67}{space 3} .1411786
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.2291412{col 26}{space 2} .1180511{col 37}{space 1}   -1.94{col 46}{space 3}0.052{col 54}{space 4}-.4605954{col 67}{space 3}  .002313
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{txt}{space 10}5  {c |}{col 14}{res}{space 2} -.621756{col 26}{space 2} .1602426{col 37}{space 1}   -3.88{col 46}{space 3}0.000{col 54}{space 4}-.9359321{col 67}{space 3}-.3075798
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.7330442{col 26}{space 2} .2208168{col 37}{space 1}   -3.32{col 46}{space 3}0.001{col 54}{space 4}-1.165984{col 67}{space 3}-.3001048
{txt}{space 10}7  {c |}{col 14}{res}{space 2}-.6921991{col 26}{space 2} .1349412{col 37}{space 1}   -5.13{col 46}{space 3}0.000{col 54}{space 4}-.9567686{col 67}{space 3}-.4276295
{txt}{space 10}8  {c |}{col 14}{res}{space 2}-.7583552{col 26}{space 2} .1516657{col 37}{space 1}   -5.00{col 46}{space 3}0.000{col 54}{space 4}-1.055715{col 67}{space 3}-.4609952
{txt}{space 10}9  {c |}{col 14}{res}{space 2} -.803101{col 26}{space 2} .1866835{col 37}{space 1}   -4.30{col 46}{space 3}0.000{col 54}{space 4}-1.169118{col 67}{space 3}-.4370841
{txt}{space 12} {c |}
{space 5}1.rural {c |}{col 14}{res}{space 2}-.1280225{col 26}{space 2} .0737363{col 37}{space 1}   -1.74{col 46}{space 3}0.083{col 54}{space 4} -.272592{col 67}{space 3}  .016547
{txt}{space 3}1.married {c |}{col 14}{res}{space 2}-.0363172{col 26}{space 2} .0801128{col 37}{space 1}   -0.45{col 46}{space 3}0.650{col 54}{space 4}-.1933887{col 67}{space 3} .1207542
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.277125{col 26}{space 2} 4.187229{col 37}{space 1}   -0.07{col 46}{space 3}0.947{col 54}{space 4}-8.486723{col 67}{space 3} 7.932473
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. regress imbleco rtrd eduyrs agea agesquared hinctnta ever_child lrscale brncntr i.country i.iscoco10 i.rural i.married, robust 

{txt}Linear regression                               Number of obs     = {res}     3,598
                                                {txt}F(31, 3566)       =  {res}    12.74
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0983
                                                {txt}Root MSE          =    {res} 2.1087

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     imbleco{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}rtrd {c |}{col 14}{res}{space 2}-.0216377{col 26}{space 2} .1170962{col 37}{space 1}   -0.18{col 46}{space 3}0.853{col 54}{space 4}  -.25122{col 67}{space 3} .2079446
{txt}{space 6}eduyrs {c |}{col 14}{res}{space 2} .0418902{col 26}{space 2} .0107724{col 37}{space 1}    3.89{col 46}{space 3}0.000{col 54}{space 4} .0207695{col 67}{space 3} .0630109
{txt}{space 8}agea {c |}{col 14}{res}{space 2} .1920583{col 26}{space 2} .1487967{col 37}{space 1}    1.29{col 46}{space 3}0.197{col 54}{space 4}-.0996769{col 67}{space 3} .4837936
{txt}{space 2}agesquared {c |}{col 14}{res}{space 2}-.0015736{col 26}{space 2}  .001269{col 37}{space 1}   -1.24{col 46}{space 3}0.215{col 54}{space 4}-.0040616{col 67}{space 3} .0009144
{txt}{space 4}hinctnta {c |}{col 14}{res}{space 2} .0334076{col 26}{space 2}  .017231{col 37}{space 1}    1.94{col 46}{space 3}0.053{col 54}{space 4} -.000376{col 67}{space 3} .0671911
{txt}{space 2}ever_child {c |}{col 14}{res}{space 2}-.2242017{col 26}{space 2} .0988152{col 37}{space 1}   -2.27{col 46}{space 3}0.023{col 54}{space 4}-.4179416{col 67}{space 3}-.0304618
{txt}{space 5}lrscale {c |}{col 14}{res}{space 2}-.1473928{col 26}{space 2} .0185673{col 37}{space 1}   -7.94{col 46}{space 3}0.000{col 54}{space 4}-.1837965{col 67}{space 3}-.1109892
{txt}{space 5}brncntr {c |}{col 14}{res}{space 2} .7854479{col 26}{space 2} .1426182{col 37}{space 1}    5.51{col 46}{space 3}0.000{col 54}{space 4} .5058265{col 67}{space 3} 1.065069
{txt}{space 12} {c |}
{space 5}country {c |}
{space 9}BE  {c |}{col 14}{res}{space 2} .4956921{col 26}{space 2} .2154688{col 37}{space 1}    2.30{col 46}{space 3}0.021{col 54}{space 4} .0732375{col 67}{space 3} .9181466
{txt}{space 9}CH  {c |}{col 14}{res}{space 2} .6613051{col 26}{space 2} .2238087{col 37}{space 1}    2.95{col 46}{space 3}0.003{col 54}{space 4} .2224992{col 67}{space 3} 1.100111
{txt}{space 9}DE  {c |}{col 14}{res}{space 2} 1.157493{col 26}{space 2} .1886627{col 37}{space 1}    6.14{col 46}{space 3}0.000{col 54}{space 4} .7875957{col 67}{space 3} 1.527391
{txt}{space 9}DK  {c |}{col 14}{res}{space 2} 1.121863{col 26}{space 2} .2172117{col 37}{space 1}    5.16{col 46}{space 3}0.000{col 54}{space 4} .6959917{col 67}{space 3} 1.547735
{txt}{space 9}ES  {c |}{col 14}{res}{space 2} .2977753{col 26}{space 2} .2249639{col 37}{space 1}    1.32{col 46}{space 3}0.186{col 54}{space 4}-.1432956{col 67}{space 3} .7388462
{txt}{space 9}FI  {c |}{col 14}{res}{space 2} .9337085{col 26}{space 2} .2023511{col 37}{space 1}    4.61{col 46}{space 3}0.000{col 54}{space 4} .5369729{col 67}{space 3} 1.330444
{txt}{space 9}FR  {c |}{col 14}{res}{space 2} .8319474{col 26}{space 2} .2152525{col 37}{space 1}    3.86{col 46}{space 3}0.000{col 54}{space 4}  .409917{col 67}{space 3} 1.253978
{txt}{space 9}GB  {c |}{col 14}{res}{space 2}  .558699{col 26}{space 2} .2184255{col 37}{space 1}    2.56{col 46}{space 3}0.011{col 54}{space 4} .1304474{col 67}{space 3} .9869505
{txt}{space 9}IE  {c |}{col 14}{res}{space 2} .5805656{col 26}{space 2} .2296552{col 37}{space 1}    2.53{col 46}{space 3}0.012{col 54}{space 4} .1302969{col 67}{space 3} 1.030834
{txt}{space 9}NL  {c |}{col 14}{res}{space 2} .7920098{col 26}{space 2} .1972845{col 37}{space 1}    4.01{col 46}{space 3}0.000{col 54}{space 4} .4052081{col 67}{space 3} 1.178812
{txt}{space 9}NO  {c |}{col 14}{res}{space 2} 1.212886{col 26}{space 2}  .204921{col 37}{space 1}    5.92{col 46}{space 3}0.000{col 54}{space 4} .8111115{col 67}{space 3}  1.61466
{txt}{space 9}PT  {c |}{col 14}{res}{space 2} 1.591644{col 26}{space 2} .2645734{col 37}{space 1}    6.02{col 46}{space 3}0.000{col 54}{space 4} 1.072914{col 67}{space 3} 2.110375
{txt}{space 9}SE  {c |}{col 14}{res}{space 2} 1.423761{col 26}{space 2} .2148018{col 37}{space 1}    6.63{col 46}{space 3}0.000{col 54}{space 4} 1.002615{col 67}{space 3} 1.844908
{txt}{space 12} {c |}
{space 4}iscoco10 {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0097361{col 26}{space 2} .1253863{col 37}{space 1}   -0.08{col 46}{space 3}0.938{col 54}{space 4}-.2555721{col 67}{space 3} .2360999
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{txt}{space 10}5  {c |}{col 14}{res}{space 2}-.4500412{col 26}{space 2}  .165898{col 37}{space 1}   -2.71{col 46}{space 3}0.007{col 54}{space 4}-.7753057{col 67}{space 3}-.1247768
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.7331915{col 26}{space 2} .2163053{col 37}{space 1}   -3.39{col 46}{space 3}0.001{col 54}{space 4}-1.157286{col 67}{space 3}-.3090969
{txt}{space 10}7  {c |}{col 14}{res}{space 2} -.636225{col 26}{space 2} .1397977{col 37}{space 1}   -4.55{col 46}{space 3}0.000{col 54}{space 4}-.9103164{col 67}{space 3}-.3621335
{txt}{space 10}8  {c |}{col 14}{res}{space 2}-.6167181{col 26}{space 2} .1561119{col 37}{space 1}   -3.95{col 46}{space 3}0.000{col 54}{space 4}-.9227958{col 67}{space 3}-.3106405
{txt}{space 10}9  {c |}{col 14}{res}{space 2}-.6040699{col 26}{space 2} .1863177{col 37}{space 1}   -3.24{col 46}{space 3}0.001{col 54}{space 4}  -.96937{col 67}{space 3}-.2387699
{txt}{space 12} {c |}
{space 5}1.rural {c |}{col 14}{res}{space 2} .0179662{col 26}{space 2} .0744211{col 37}{space 1}    0.24{col 46}{space 3}0.809{col 54}{space 4} -.127946{col 67}{space 3} .1638784
{txt}{space 3}1.married {c |}{col 14}{res}{space 2} .1063939{col 26}{space 2} .0852164{col 37}{space 1}    1.25{col 46}{space 3}0.212{col 54}{space 4} -.060684{col 67}{space 3} .2734717
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-2.366563{col 26}{space 2} 4.370282{col 37}{space 1}   -0.54{col 46}{space 3}0.588{col 54}{space 4}-10.93507{col 67}{space 3} 6.201941
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. *income mostly from pensions

. ivregress 2sls imbgeco (pensions_income=above_early above_full) eduyrs agea agesquared hinctnta ever_child lrscale brncntr i.country i.iscoco10 i.rural i.married, robust first
{res}
{txt}First-stage regressions
{hline 23}
{res}
{txt}{col 49}Number of obs{col 67}= {res}     3,616
{txt}{col 49}F({res}  32{txt},{res}   3583{txt}){col 67}= {res}    143.35
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.4948
{txt}{col 49}Adj R-squared{col 67}= {res}    0.4903
{txt}{col 49}Root MSE{col 67}= {res}    0.3179

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}pensions_i~e{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}eduyrs {c |}{col 14}{res}{space 2}-.0012216{col 26}{space 2}  .001632{col 37}{space 1}   -0.75{col 46}{space 3}0.454{col 54}{space 4}-.0044213{col 67}{space 3} .0019781
{txt}{space 8}agea {c |}{col 14}{res}{space 2} -.243993{col 26}{space 2} .0299167{col 37}{space 1}   -8.16{col 46}{space 3}0.000{col 54}{space 4}-.3026485{col 67}{space 3}-.1853375
{txt}{space 2}agesquared {c |}{col 14}{res}{space 2} .0023375{col 26}{space 2} .0002678{col 37}{space 1}    8.73{col 46}{space 3}0.000{col 54}{space 4} .0018124{col 67}{space 3} .0028626
{txt}{space 4}hinctnta {c |}{col 14}{res}{space 2}-.0227589{col 26}{space 2} .0025704{col 37}{space 1}   -8.85{col 46}{space 3}0.000{col 54}{space 4}-.0277984{col 67}{space 3}-.0177193
{txt}{space 2}ever_child {c |}{col 14}{res}{space 2}-.0029671{col 26}{space 2} .0152488{col 37}{space 1}   -0.19{col 46}{space 3}0.846{col 54}{space 4}-.0328642{col 67}{space 3}   .02693
{txt}{space 5}lrscale {c |}{col 14}{res}{space 2}-.0032603{col 26}{space 2} .0026227{col 37}{space 1}   -1.24{col 46}{space 3}0.214{col 54}{space 4}-.0084024{col 67}{space 3} .0018819
{txt}{space 5}brncntr {c |}{col 14}{res}{space 2}-.0710182{col 26}{space 2} .0181759{col 37}{space 1}   -3.91{col 46}{space 3}0.000{col 54}{space 4}-.1066543{col 67}{space 3}-.0353821
{txt}{space 12} {c |}
{space 5}country {c |}
{space 9}BE  {c |}{col 14}{res}{space 2} .0237931{col 26}{space 2} .0298687{col 37}{space 1}    0.80{col 46}{space 3}0.426{col 54}{space 4}-.0347684{col 67}{space 3} .0823545
{txt}{space 9}CH  {c |}{col 14}{res}{space 2}  -.06549{col 26}{space 2} .0320477{col 37}{space 1}   -2.04{col 46}{space 3}0.041{col 54}{space 4}-.1283236{col 67}{space 3}-.0026565
{txt}{space 9}DE  {c |}{col 14}{res}{space 2}-.0405023{col 26}{space 2} .0266931{col 37}{space 1}   -1.52{col 46}{space 3}0.129{col 54}{space 4}-.0928375{col 67}{space 3}  .011833
{txt}{space 9}DK  {c |}{col 14}{res}{space 2}-.0771049{col 26}{space 2} .0309224{col 37}{space 1}   -2.49{col 46}{space 3}0.013{col 54}{space 4}-.1377321{col 67}{space 3}-.0164776
{txt}{space 9}ES  {c |}{col 14}{res}{space 2}-.0731702{col 26}{space 2} .0308128{col 37}{space 1}   -2.37{col 46}{space 3}0.018{col 54}{space 4}-.1335826{col 67}{space 3}-.0127578
{txt}{space 9}FI  {c |}{col 14}{res}{space 2}-.0029949{col 26}{space 2}  .029664{col 37}{space 1}   -0.10{col 46}{space 3}0.920{col 54}{space 4} -.061155{col 67}{space 3} .0551652
{txt}{space 9}FR  {c |}{col 14}{res}{space 2} .0597344{col 26}{space 2} .0305864{col 37}{space 1}    1.95{col 46}{space 3}0.051{col 54}{space 4}-.0002341{col 67}{space 3} .1197029
{txt}{space 9}GB  {c |}{col 14}{res}{space 2}-.0474014{col 26}{space 2} .0309631{col 37}{space 1}   -1.53{col 46}{space 3}0.126{col 54}{space 4}-.1081084{col 67}{space 3} .0133056
{txt}{space 9}IE  {c |}{col 14}{res}{space 2}-.1437482{col 26}{space 2} .0394246{col 37}{space 1}   -3.65{col 46}{space 3}0.000{col 54}{space 4}-.2210451{col 67}{space 3}-.0664513
{txt}{space 9}NL  {c |}{col 14}{res}{space 2}-.0596018{col 26}{space 2} .0283586{col 37}{space 1}   -2.10{col 46}{space 3}0.036{col 54}{space 4}-.1152024{col 67}{space 3}-.0040012
{txt}{space 9}NO  {c |}{col 14}{res}{space 2}-.1279698{col 26}{space 2} .0297386{col 37}{space 1}   -4.30{col 46}{space 3}0.000{col 54}{space 4}-.1862762{col 67}{space 3}-.0696635
{txt}{space 9}PT  {c |}{col 14}{res}{space 2} .0409032{col 26}{space 2} .0381414{col 37}{space 1}    1.07{col 46}{space 3}0.284{col 54}{space 4}-.0338779{col 67}{space 3} .1156842
{txt}{space 9}SE  {c |}{col 14}{res}{space 2}-.1435282{col 26}{space 2} .0300319{col 37}{space 1}   -4.78{col 46}{space 3}0.000{col 54}{space 4}-.2024096{col 67}{space 3}-.0846468
{txt}{space 12} {c |}
{space 4}iscoco10 {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .0021333{col 26}{space 2} .0199366{col 37}{space 1}    0.11{col 46}{space 3}0.915{col 54}{space 4} -.036955{col 67}{space 3} .0412216
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.0059684{col 26}{space 2} .0199647{col 37}{space 1}   -0.30{col 46}{space 3}0.765{col 54}{space 4}-.0451116{col 67}{space 3} .0331748
{txt}{space 10}4  {c |}{col 14}{res}{space 2}  .037543{col 26}{space 2}  .029156{col 37}{space 1}    1.29{col 46}{space 3}0.198{col 54}{space 4}-.0196209{col 67}{space 3}  .094707
{txt}{space 10}5  {c |}{col 14}{res}{space 2}-.0205324{col 26}{space 2} .0253929{col 37}{space 1}   -0.81{col 46}{space 3}0.419{col 54}{space 4}-.0703185{col 67}{space 3} .0292536
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.0948649{col 26}{space 2} .0329299{col 37}{space 1}   -2.88{col 46}{space 3}0.004{col 54}{space 4}-.1594281{col 67}{space 3}-.0303018
{txt}{space 10}7  {c |}{col 14}{res}{space 2}-.0114121{col 26}{space 2} .0220023{col 37}{space 1}   -0.52{col 46}{space 3}0.604{col 54}{space 4}-.0545505{col 67}{space 3} .0317262
{txt}{space 10}8  {c |}{col 14}{res}{space 2}-.0061387{col 26}{space 2} .0245028{col 37}{space 1}   -0.25{col 46}{space 3}0.802{col 54}{space 4}-.0541796{col 67}{space 3} .0419022
{txt}{space 10}9  {c |}{col 14}{res}{space 2}-.0626731{col 26}{space 2} .0290743{col 37}{space 1}   -2.16{col 46}{space 3}0.031{col 54}{space 4}-.1196769{col 67}{space 3}-.0056694
{txt}{space 12} {c |}
{space 5}1.rural {c |}{col 14}{res}{space 2} .0164063{col 26}{space 2} .0113055{col 37}{space 1}    1.45{col 46}{space 3}0.147{col 54}{space 4}-.0057596{col 67}{space 3} .0385723
{txt}{space 3}1.married {c |}{col 14}{res}{space 2} .0061076{col 26}{space 2} .0120808{col 37}{space 1}    0.51{col 46}{space 3}0.613{col 54}{space 4}-.0175784{col 67}{space 3} .0297936
{txt}{space 1}above_early {c |}{col 14}{res}{space 2} .0616685{col 26}{space 2} .0273701{col 37}{space 1}    2.25{col 46}{space 3}0.024{col 54}{space 4}  .008006{col 67}{space 3} .1153309
{txt}{space 2}above_full {c |}{col 14}{res}{space 2} .1478961{col 26}{space 2} .0362598{col 37}{space 1}    4.08{col 46}{space 3}0.000{col 54}{space 4} .0768042{col 67}{space 3} .2189881
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 6.671933{col 26}{space 2} .8303054{col 37}{space 1}    8.04{col 46}{space 3}0.000{col 54}{space 4} 5.044015{col 67}{space 3} 8.299852
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{res}
{txt}{col 1}Instrumental variables (2SLS) regression{col 51}Number of obs{col 67}= {res}     3,616
{txt}{col 1}{col 51}Wald chi2({res}31{txt}){col 67}= {res}    735.86
{txt}{col 1}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}{col 1}{col 51}R-squared{col 67}= {res}    0.1547
{txt}{col 51}Root MSE{col 67}=    {res} 2.1933

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}        imbgeco{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
pensions_income {c |}{col 17}{res}{space 2}-.6186193{col 29}{space 2} .9853762{col 40}{space 1}   -0.63{col 49}{space 3}0.530{col 57}{space 4}-2.549921{col 70}{space 3} 1.312683
{txt}{space 9}eduyrs {c |}{col 17}{res}{space 2} .0736431{col 29}{space 2} .0115207{col 40}{space 1}    6.39{col 49}{space 3}0.000{col 57}{space 4} .0510628{col 70}{space 3} .0962233
{txt}{space 11}agea {c |}{col 17}{res}{space 2} .1056575{col 29}{space 2} .4015795{col 40}{space 1}    0.26{col 49}{space 3}0.792{col 57}{space 4}-.6814239{col 70}{space 3} .8927389
{txt}{space 5}agesquared {c |}{col 17}{res}{space 2} -.000572{col 29}{space 2} .0037347{col 40}{space 1}   -0.15{col 49}{space 3}0.878{col 57}{space 4}-.0078918{col 70}{space 3} .0067478
{txt}{space 7}hinctnta {c |}{col 17}{res}{space 2} .0583265{col 29}{space 2} .0295259{col 40}{space 1}    1.98{col 49}{space 3}0.048{col 57}{space 4} .0004568{col 70}{space 3} .1161962
{txt}{space 5}ever_child {c |}{col 17}{res}{space 2}-.0792443{col 29}{space 2}  .099865{col 40}{space 1}   -0.79{col 49}{space 3}0.427{col 57}{space 4}-.2749762{col 70}{space 3} .1164875
{txt}{space 8}lrscale {c |}{col 17}{res}{space 2}-.1373192{col 29}{space 2} .0197599{col 40}{space 1}   -6.95{col 49}{space 3}0.000{col 57}{space 4} -.176048{col 70}{space 3}-.0985905
{txt}{space 8}brncntr {c |}{col 17}{res}{space 2} .6367202{col 29}{space 2} .1661273{col 40}{space 1}    3.83{col 49}{space 3}0.000{col 57}{space 4} .3111166{col 70}{space 3} .9623237
{txt}{space 15} {c |}
{space 8}country {c |}
{space 12}BE  {c |}{col 17}{res}{space 2}-.4099895{col 29}{space 2} .2263343{col 40}{space 1}   -1.81{col 49}{space 3}0.070{col 57}{space 4}-.8535967{col 70}{space 3} .0336176
{txt}{space 12}CH  {c |}{col 17}{res}{space 2} 1.227611{col 29}{space 2} .2295547{col 40}{space 1}    5.35{col 49}{space 3}0.000{col 57}{space 4} .7776921{col 70}{space 3}  1.67753
{txt}{space 12}DE  {c |}{col 17}{res}{space 2} .7314654{col 29}{space 2} .2019477{col 40}{space 1}    3.62{col 49}{space 3}0.000{col 57}{space 4} .3356551{col 70}{space 3} 1.127276
{txt}{space 12}DK  {c |}{col 17}{res}{space 2} .1662833{col 29}{space 2} .2439153{col 40}{space 1}    0.68{col 49}{space 3}0.495{col 57}{space 4} -.311782{col 70}{space 3} .6443486
{txt}{space 12}ES  {c |}{col 17}{res}{space 2} .7176277{col 29}{space 2} .2501652{col 40}{space 1}    2.87{col 49}{space 3}0.004{col 57}{space 4} .2273131{col 70}{space 3} 1.207942
{txt}{space 12}FI  {c |}{col 17}{res}{space 2} .5584302{col 29}{space 2} .2101204{col 40}{space 1}    2.66{col 49}{space 3}0.008{col 57}{space 4} .1466019{col 70}{space 3} .9702586
{txt}{space 12}FR  {c |}{col 17}{res}{space 2}-.1374473{col 29}{space 2} .2375487{col 40}{space 1}   -0.58{col 49}{space 3}0.563{col 57}{space 4}-.6030342{col 70}{space 3} .3281396
{txt}{space 12}GB  {c |}{col 17}{res}{space 2} -.249988{col 29}{space 2} .2276226{col 40}{space 1}   -1.10{col 49}{space 3}0.272{col 57}{space 4}-.6961201{col 70}{space 3}  .196144
{txt}{space 12}IE  {c |}{col 17}{res}{space 2} .0848005{col 29}{space 2} .2600949{col 40}{space 1}    0.33{col 49}{space 3}0.744{col 57}{space 4}-.4249762{col 70}{space 3} .5945772
{txt}{space 12}NL  {c |}{col 17}{res}{space 2}-.1543966{col 29}{space 2} .2186278{col 40}{space 1}   -0.71{col 49}{space 3}0.480{col 57}{space 4}-.5828992{col 70}{space 3} .2741061
{txt}{space 12}NO  {c |}{col 17}{res}{space 2} .5953153{col 29}{space 2} .2525176{col 40}{space 1}    2.36{col 49}{space 3}0.018{col 57}{space 4} .1003899{col 70}{space 3} 1.090241
{txt}{space 12}PT  {c |}{col 17}{res}{space 2} .6533261{col 29}{space 2} .2906094{col 40}{space 1}    2.25{col 49}{space 3}0.025{col 57}{space 4} .0837421{col 70}{space 3}  1.22291
{txt}{space 12}SE  {c |}{col 17}{res}{space 2} .1672596{col 29}{space 2} .2625839{col 40}{space 1}    0.64{col 49}{space 3}0.524{col 57}{space 4}-.3473953{col 70}{space 3} .6819146
{txt}{space 15} {c |}
{space 7}iscoco10 {c |}
{space 13}2  {c |}{col 17}{res}{space 2}-.0693206{col 29}{space 2} .1255703{col 40}{space 1}   -0.55{col 49}{space 3}0.581{col 57}{space 4}-.3154337{col 70}{space 3} .1767926
{txt}{space 13}3  {c |}{col 17}{res}{space 2}-.2991735{col 29}{space 2}  .129572{col 40}{space 1}   -2.31{col 49}{space 3}0.021{col 57}{space 4}  -.55313{col 70}{space 3}-.0452169
{txt}{space 13}4  {c |}{col 17}{res}{space 2}-.4503296{col 29}{space 2} .1918774{col 40}{space 1}   -2.35{col 49}{space 3}0.019{col 57}{space 4}-.8264024{col 70}{space 3}-.0742568
{txt}{space 13}5  {c |}{col 17}{res}{space 2}-.8856888{col 29}{space 2} .1802302{col 40}{space 1}   -4.91{col 49}{space 3}0.000{col 57}{space 4}-1.238934{col 70}{space 3}-.5324441
{txt}{space 13}6  {c |}{col 17}{res}{space 2}-.9929725{col 29}{space 2} .2333352{col 40}{space 1}   -4.26{col 49}{space 3}0.000{col 57}{space 4}-1.450301{col 70}{space 3} -.535644
{txt}{space 13}7  {c |}{col 17}{res}{space 2}-1.007781{col 29}{space 2} .1449336{col 40}{space 1}   -6.95{col 49}{space 3}0.000{col 57}{space 4}-1.291846{col 70}{space 3}-.7237163
{txt}{space 13}8  {c |}{col 17}{res}{space 2}-1.270478{col 29}{space 2} .1654329{col 40}{space 1}   -7.68{col 49}{space 3}0.000{col 57}{space 4} -1.59472{col 70}{space 3}-.9462352
{txt}{space 13}9  {c |}{col 17}{res}{space 2} -.966415{col 29}{space 2} .2088987{col 40}{space 1}   -4.63{col 49}{space 3}0.000{col 57}{space 4}-1.375849{col 70}{space 3}-.5569812
{txt}{space 15} {c |}
{space 8}1.rural {c |}{col 17}{res}{space 2}-.1502783{col 29}{space 2} .0784718{col 40}{space 1}   -1.92{col 49}{space 3}0.055{col 57}{space 4}-.3040802{col 70}{space 3} .0035236
{txt}{space 6}1.married {c |}{col 17}{res}{space 2}-.0362182{col 29}{space 2} .0854722{col 40}{space 1}   -0.42{col 49}{space 3}0.672{col 57}{space 4}-.2037406{col 70}{space 3} .1313042
{txt}{space 10}_cons {c |}{col 17}{res}{space 2} .4996401{col 29}{space 2} 11.09712{col 40}{space 1}    0.05{col 49}{space 3}0.964{col 57}{space 4}-21.25032{col 70}{space 3}  22.2496
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 15 23}Instrumented:{space 2}pensions_income{p_end}
{p 0 15 23}Instruments:{space 3}eduyrs agea agesquared hinctnta ever_child lrscale brncntr 2.country 3.country 5.country 6.country 8.country 9.country 10.country 11.country 13.country 16.country 17.country 19.country 20.country 2.iscoco10 3.iscoco10 4.iscoco10 5.iscoco10 6.iscoco10 7.iscoco10 8.iscoco10 9.iscoco10 1.rural 1.married above_early above_full{p_end}

{com}. ivregress 2sls imtcjob (pensions_income=above_early above_full) eduyrs agea agesquared hinctnta ever_child lrscale brncntr i.country i.iscoco10 i.rural i.married, robust first
{res}
{txt}First-stage regressions
{hline 23}
{res}
{txt}{col 49}Number of obs{col 67}= {res}     3,607
{txt}{col 49}F({res}  32{txt},{res}   3574{txt}){col 67}= {res}    141.01
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.4924
{txt}{col 49}Adj R-squared{col 67}= {res}    0.4878
{txt}{col 49}Root MSE{col 67}= {res}    0.3189

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}pensions_i~e{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}eduyrs {c |}{col 14}{res}{space 2}-.0014612{col 26}{space 2} .0016347{col 37}{space 1}   -0.89{col 46}{space 3}0.371{col 54}{space 4}-.0046664{col 67}{space 3} .0017439
{txt}{space 8}agea {c |}{col 14}{res}{space 2}-.2360973{col 26}{space 2} .0301729{col 37}{space 1}   -7.82{col 46}{space 3}0.000{col 54}{space 4}-.2952551{col 67}{space 3}-.1769394
{txt}{space 2}agesquared {c |}{col 14}{res}{space 2}  .002268{col 26}{space 2} .0002701{col 37}{space 1}    8.40{col 46}{space 3}0.000{col 54}{space 4} .0017384{col 67}{space 3} .0027975
{txt}{space 4}hinctnta {c |}{col 14}{res}{space 2}-.0230713{col 26}{space 2} .0025776{col 37}{space 1}   -8.95{col 46}{space 3}0.000{col 54}{space 4} -.028125{col 67}{space 3}-.0180175
{txt}{space 2}ever_child {c |}{col 14}{res}{space 2}-.0018475{col 26}{space 2} .0153363{col 37}{space 1}   -0.12{col 46}{space 3}0.904{col 54}{space 4}-.0319164{col 67}{space 3} .0282213
{txt}{space 5}lrscale {c |}{col 14}{res}{space 2}-.0036762{col 26}{space 2} .0026121{col 37}{space 1}   -1.41{col 46}{space 3}0.159{col 54}{space 4}-.0087975{col 67}{space 3} .0014452
{txt}{space 5}brncntr {c |}{col 14}{res}{space 2} -.072275{col 26}{space 2} .0184118{col 37}{space 1}   -3.93{col 46}{space 3}0.000{col 54}{space 4}-.1083738{col 67}{space 3}-.0361763
{txt}{space 12} {c |}
{space 5}country {c |}
{space 9}BE  {c |}{col 14}{res}{space 2} .0273671{col 26}{space 2} .0300327{col 37}{space 1}    0.91{col 46}{space 3}0.362{col 54}{space 4}-.0315158{col 67}{space 3}   .08625
{txt}{space 9}CH  {c |}{col 14}{res}{space 2}-.0646503{col 26}{space 2} .0322677{col 37}{space 1}   -2.00{col 46}{space 3}0.045{col 54}{space 4}-.1279152{col 67}{space 3}-.0013854
{txt}{space 9}DE  {c |}{col 14}{res}{space 2}-.0377254{col 26}{space 2} .0267806{col 37}{space 1}   -1.41{col 46}{space 3}0.159{col 54}{space 4}-.0902322{col 67}{space 3} .0147814
{txt}{space 9}DK  {c |}{col 14}{res}{space 2}-.0602692{col 26}{space 2} .0309778{col 37}{space 1}   -1.95{col 46}{space 3}0.052{col 54}{space 4}-.1210052{col 67}{space 3} .0004667
{txt}{space 9}ES  {c |}{col 14}{res}{space 2}-.0814605{col 26}{space 2} .0311484{col 37}{space 1}   -2.62{col 46}{space 3}0.009{col 54}{space 4}-.1425309{col 67}{space 3}-.0203902
{txt}{space 9}FI  {c |}{col 14}{res}{space 2}-.0003228{col 26}{space 2} .0297714{col 37}{space 1}   -0.01{col 46}{space 3}0.991{col 54}{space 4}-.0586934{col 67}{space 3} .0580478
{txt}{space 9}FR  {c |}{col 14}{res}{space 2}  .059282{col 26}{space 2} .0307012{col 37}{space 1}    1.93{col 46}{space 3}0.054{col 54}{space 4}-.0009117{col 67}{space 3} .1194757
{txt}{space 9}GB  {c |}{col 14}{res}{space 2}-.0431992{col 26}{space 2} .0311206{col 37}{space 1}   -1.39{col 46}{space 3}0.165{col 54}{space 4}-.1042152{col 67}{space 3} .0178168
{txt}{space 9}IE  {c |}{col 14}{res}{space 2}-.1435115{col 26}{space 2} .0397193{col 37}{space 1}   -3.61{col 46}{space 3}0.000{col 54}{space 4}-.2213863{col 67}{space 3}-.0656368
{txt}{space 9}NL  {c |}{col 14}{res}{space 2}-.0564098{col 26}{space 2} .0286207{col 37}{space 1}   -1.97{col 46}{space 3}0.049{col 54}{space 4}-.1125243{col 67}{space 3}-.0002953
{txt}{space 9}NO  {c |}{col 14}{res}{space 2}-.1250649{col 26}{space 2} .0297541{col 37}{space 1}   -4.20{col 46}{space 3}0.000{col 54}{space 4}-.1834016{col 67}{space 3}-.0667282
{txt}{space 9}PT  {c |}{col 14}{res}{space 2} .0421716{col 26}{space 2} .0382055{col 37}{space 1}    1.10{col 46}{space 3}0.270{col 54}{space 4}-.0327352{col 67}{space 3} .1170784
{txt}{space 9}SE  {c |}{col 14}{res}{space 2}-.1411956{col 26}{space 2} .0301618{col 37}{space 1}   -4.68{col 46}{space 3}0.000{col 54}{space 4}-.2003318{col 67}{space 3}-.0820594
{txt}{space 12} {c |}
{space 4}iscoco10 {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .0042589{col 26}{space 2} .0201073{col 37}{space 1}    0.21{col 46}{space 3}0.832{col 54}{space 4}-.0351641{col 67}{space 3} .0436819
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.0070479{col 26}{space 2} .0201863{col 37}{space 1}   -0.35{col 46}{space 3}0.727{col 54}{space 4}-.0466258{col 67}{space 3} .0325299
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0395989{col 26}{space 2} .0293875{col 37}{space 1}    1.35{col 46}{space 3}0.178{col 54}{space 4}-.0180191{col 67}{space 3} .0972169
{txt}{space 10}5  {c |}{col 14}{res}{space 2}-.0200246{col 26}{space 2} .0256552{col 37}{space 1}   -0.78{col 46}{space 3}0.435{col 54}{space 4}-.0703249{col 67}{space 3} .0302757
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.0988476{col 26}{space 2}  .032928{col 37}{space 1}   -3.00{col 46}{space 3}0.003{col 54}{space 4}-.1634071{col 67}{space 3} -.034288
{txt}{space 10}7  {c |}{col 14}{res}{space 2}-.0109323{col 26}{space 2}  .022144{col 37}{space 1}   -0.49{col 46}{space 3}0.622{col 54}{space 4}-.0543484{col 67}{space 3} .0324838
{txt}{space 10}8  {c |}{col 14}{res}{space 2}-.0038486{col 26}{space 2} .0245184{col 37}{space 1}   -0.16{col 46}{space 3}0.875{col 54}{space 4}  -.05192{col 67}{space 3} .0442228
{txt}{space 10}9  {c |}{col 14}{res}{space 2}-.0568404{col 26}{space 2} .0299796{col 37}{space 1}   -1.90{col 46}{space 3}0.058{col 54}{space 4}-.1156192{col 67}{space 3} .0019384
{txt}{space 12} {c |}
{space 5}1.rural {c |}{col 14}{res}{space 2} .0177874{col 26}{space 2} .0113833{col 37}{space 1}    1.56{col 46}{space 3}0.118{col 54}{space 4}-.0045309{col 67}{space 3} .0401057
{txt}{space 3}1.married {c |}{col 14}{res}{space 2}   .00811{col 26}{space 2} .0121598{col 37}{space 1}    0.67{col 46}{space 3}0.505{col 54}{space 4}-.0157308{col 67}{space 3} .0319509
{txt}{space 1}above_early {c |}{col 14}{res}{space 2} .0631476{col 26}{space 2} .0274792{col 37}{space 1}    2.30{col 46}{space 3}0.022{col 54}{space 4} .0092711{col 67}{space 3}  .117024
{txt}{space 2}above_full {c |}{col 14}{res}{space 2} .1497897{col 26}{space 2} .0363653{col 37}{space 1}    4.12{col 46}{space 3}0.000{col 54}{space 4} .0784908{col 67}{space 3} .2210886
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}  6.45191{col 26}{space 2} .8375864{col 37}{space 1}    7.70{col 46}{space 3}0.000{col 54}{space 4} 4.809715{col 67}{space 3} 8.094106
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{res}
{txt}{col 1}Instrumental variables (2SLS) regression{col 51}Number of obs{col 67}= {res}     3,607
{txt}{col 1}{col 51}Wald chi2({res}31{txt}){col 67}= {res}    500.38
{txt}{col 1}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}{col 1}{col 51}R-squared{col 67}= {res}    0.1180
{txt}{col 51}Root MSE{col 67}=    {res}  2.041

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}        imtcjob{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
pensions_income {c |}{col 17}{res}{space 2}-.6479959{col 29}{space 2} .9506281{col 40}{space 1}   -0.68{col 49}{space 3}0.495{col 57}{space 4}-2.511193{col 70}{space 3} 1.215201
{txt}{space 9}eduyrs {c |}{col 17}{res}{space 2} .0493509{col 29}{space 2} .0104699{col 40}{space 1}    4.71{col 49}{space 3}0.000{col 57}{space 4} .0288302{col 70}{space 3} .0698715
{txt}{space 11}agea {c |}{col 17}{res}{space 2}-.1089808{col 29}{space 2} .3820277{col 40}{space 1}   -0.29{col 49}{space 3}0.775{col 57}{space 4}-.8577413{col 70}{space 3} .6397797
{txt}{space 5}agesquared {c |}{col 17}{res}{space 2} .0011698{col 29}{space 2} .0035567{col 40}{space 1}    0.33{col 49}{space 3}0.742{col 57}{space 4}-.0058013{col 70}{space 3} .0081409
{txt}{space 7}hinctnta {c |}{col 17}{res}{space 2} .0216954{col 29}{space 2} .0283281{col 40}{space 1}    0.77{col 49}{space 3}0.444{col 57}{space 4}-.0338266{col 70}{space 3} .0772174
{txt}{space 5}ever_child {c |}{col 17}{res}{space 2} .0135787{col 29}{space 2} .0958161{col 40}{space 1}    0.14{col 49}{space 3}0.887{col 57}{space 4}-.1742174{col 70}{space 3} .2013748
{txt}{space 8}lrscale {c |}{col 17}{res}{space 2}-.0406648{col 29}{space 2} .0183184{col 40}{space 1}   -2.22{col 49}{space 3}0.026{col 57}{space 4}-.0765682{col 70}{space 3}-.0047613
{txt}{space 8}brncntr {c |}{col 17}{res}{space 2} .5572117{col 29}{space 2} .1571985{col 40}{space 1}    3.54{col 49}{space 3}0.000{col 57}{space 4} .2491083{col 70}{space 3} .8653151
{txt}{space 15} {c |}
{space 8}country {c |}
{space 12}BE  {c |}{col 17}{res}{space 2} .1141747{col 29}{space 2} .2168358{col 40}{space 1}    0.53{col 49}{space 3}0.599{col 57}{space 4}-.3108157{col 70}{space 3} .5391651
{txt}{space 12}CH  {c |}{col 17}{res}{space 2} .9772267{col 29}{space 2} .2180227{col 40}{space 1}    4.48{col 49}{space 3}0.000{col 57}{space 4} .5499101{col 70}{space 3} 1.404543
{txt}{space 12}DE  {c |}{col 17}{res}{space 2} 1.165921{col 29}{space 2} .1904181{col 40}{space 1}    6.12{col 49}{space 3}0.000{col 57}{space 4} .7927082{col 70}{space 3} 1.539133
{txt}{space 12}DK  {c |}{col 17}{res}{space 2}  .928569{col 29}{space 2}  .216591{col 40}{space 1}    4.29{col 49}{space 3}0.000{col 57}{space 4} .5040583{col 70}{space 3}  1.35308
{txt}{space 12}ES  {c |}{col 17}{res}{space 2} .3499731{col 29}{space 2}  .249408{col 40}{space 1}    1.40{col 49}{space 3}0.161{col 57}{space 4}-.1388576{col 70}{space 3} .8388037
{txt}{space 12}FI  {c |}{col 17}{res}{space 2} 1.155144{col 29}{space 2} .1957354{col 40}{space 1}    5.90{col 49}{space 3}0.000{col 57}{space 4} .7715101{col 70}{space 3} 1.538779
{txt}{space 12}FR  {c |}{col 17}{res}{space 2} .6626597{col 29}{space 2} .2317658{col 40}{space 1}    2.86{col 49}{space 3}0.004{col 57}{space 4} .2084071{col 70}{space 3} 1.116912
{txt}{space 12}GB  {c |}{col 17}{res}{space 2} .2377919{col 29}{space 2} .2187285{col 40}{space 1}    1.09{col 49}{space 3}0.277{col 57}{space 4}-.1909081{col 70}{space 3} .6664919
{txt}{space 12}IE  {c |}{col 17}{res}{space 2} .0264998{col 29}{space 2} .2417641{col 40}{space 1}    0.11{col 49}{space 3}0.913{col 57}{space 4}-.4473491{col 70}{space 3} .5003487
{txt}{space 12}NL  {c |}{col 17}{res}{space 2} .3574931{col 29}{space 2} .2025886{col 40}{space 1}    1.76{col 49}{space 3}0.078{col 57}{space 4}-.0395733{col 70}{space 3} .7545595
{txt}{space 12}NO  {c |}{col 17}{res}{space 2} 1.485246{col 29}{space 2}  .234184{col 40}{space 1}    6.34{col 49}{space 3}0.000{col 57}{space 4} 1.026254{col 70}{space 3} 1.944238
{txt}{space 12}PT  {c |}{col 17}{res}{space 2} 1.005444{col 29}{space 2} .2770842{col 40}{space 1}    3.63{col 49}{space 3}0.000{col 57}{space 4} .4623688{col 70}{space 3} 1.548519
{txt}{space 12}SE  {c |}{col 17}{res}{space 2} 1.598294{col 29}{space 2} .2392614{col 40}{space 1}    6.68{col 49}{space 3}0.000{col 57}{space 4}  1.12935{col 70}{space 3} 2.067238
{txt}{space 15} {c |}
{space 7}iscoco10 {c |}
{space 13}2  {c |}{col 17}{res}{space 2}-.0756278{col 29}{space 2} .1123716{col 40}{space 1}   -0.67{col 49}{space 3}0.501{col 57}{space 4}-.2958722{col 70}{space 3} .1446166
{txt}{space 13}3  {c |}{col 17}{res}{space 2} -.233109{col 29}{space 2} .1183984{col 40}{space 1}   -1.97{col 49}{space 3}0.049{col 57}{space 4}-.4651657{col 70}{space 3}-.0010524
{txt}{space 13}4  {c |}{col 17}{res}{space 2}-.1563799{col 29}{space 2} .1669517{col 40}{space 1}   -0.94{col 49}{space 3}0.349{col 57}{space 4}-.4835992{col 70}{space 3} .1708394
{txt}{space 13}5  {c |}{col 17}{res}{space 2}-.6367237{col 29}{space 2} .1606792{col 40}{space 1}   -3.96{col 49}{space 3}0.000{col 57}{space 4}-.9516491{col 70}{space 3}-.3217984
{txt}{space 13}6  {c |}{col 17}{res}{space 2}-.7985817{col 29}{space 2} .2423386{col 40}{space 1}   -3.30{col 49}{space 3}0.001{col 57}{space 4}-1.273557{col 70}{space 3}-.3236067
{txt}{space 13}7  {c |}{col 17}{res}{space 2}-.7006028{col 29}{space 2} .1354669{col 40}{space 1}   -5.17{col 49}{space 3}0.000{col 57}{space 4}-.9661131{col 70}{space 3}-.4350926
{txt}{space 13}8  {c |}{col 17}{res}{space 2}-.7629242{col 29}{space 2} .1522298{col 40}{space 1}   -5.01{col 49}{space 3}0.000{col 57}{space 4}-1.061289{col 70}{space 3}-.4645593
{txt}{space 13}9  {c |}{col 17}{res}{space 2}-.8413841{col 29}{space 2} .1932275{col 40}{space 1}   -4.35{col 49}{space 3}0.000{col 57}{space 4}-1.220103{col 70}{space 3}-.4626652
{txt}{space 15} {c |}
{space 8}1.rural {c |}{col 17}{res}{space 2}-.1165447{col 29}{space 2} .0749831{col 40}{space 1}   -1.55{col 49}{space 3}0.120{col 57}{space 4}-.2635089{col 70}{space 3} .0304195
{txt}{space 6}1.married {c |}{col 17}{res}{space 2}-.0314635{col 29}{space 2} .0805269{col 40}{space 1}   -0.39{col 49}{space 3}0.696{col 57}{space 4}-.1892932{col 70}{space 3} .1263663
{txt}{space 10}_cons {c |}{col 17}{res}{space 2} 6.272899{col 29}{space 2} 10.54704{col 40}{space 1}    0.59{col 49}{space 3}0.552{col 57}{space 4}-14.39891{col 70}{space 3} 26.94471
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 15 23}Instrumented:{space 2}pensions_income{p_end}
{p 0 15 23}Instruments:{space 3}eduyrs agea agesquared hinctnta ever_child lrscale brncntr 2.country 3.country 5.country 6.country 8.country 9.country 10.country 11.country 13.country 16.country 17.country 19.country 20.country 2.iscoco10 3.iscoco10 4.iscoco10 5.iscoco10 6.iscoco10 7.iscoco10 8.iscoco10 9.iscoco10 1.rural 1.married above_early above_full{p_end}

{com}. ivregress 2sls imbleco (pensions_income=above_early above_full) eduyrs agea agesquared hinctnta ever_child lrscale brncntr i.country i.iscoco10 i.rural i.married, robust first
{res}
{txt}First-stage regressions
{hline 23}
{res}
{txt}{col 49}Number of obs{col 67}= {res}     3,598
{txt}{col 49}F({res}  32{txt},{res}   3565{txt}){col 67}= {res}    139.70
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.4921
{txt}{col 49}Adj R-squared{col 67}= {res}    0.4875
{txt}{col 49}Root MSE{col 67}= {res}    0.3187

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}pensions_i~e{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}eduyrs {c |}{col 14}{res}{space 2}-.0013334{col 26}{space 2} .0016543{col 37}{space 1}   -0.81{col 46}{space 3}0.420{col 54}{space 4}-.0045768{col 67}{space 3}   .00191
{txt}{space 8}agea {c |}{col 14}{res}{space 2}-.2372989{col 26}{space 2} .0302181{col 37}{space 1}   -7.85{col 46}{space 3}0.000{col 54}{space 4}-.2965454{col 67}{space 3}-.1780523
{txt}{space 2}agesquared {c |}{col 14}{res}{space 2} .0022775{col 26}{space 2} .0002705{col 37}{space 1}    8.42{col 46}{space 3}0.000{col 54}{space 4} .0017473{col 67}{space 3} .0028078
{txt}{space 4}hinctnta {c |}{col 14}{res}{space 2} -.022688{col 26}{space 2} .0025846{col 37}{space 1}   -8.78{col 46}{space 3}0.000{col 54}{space 4}-.0277555{col 67}{space 3}-.0176205
{txt}{space 2}ever_child {c |}{col 14}{res}{space 2} .0007335{col 26}{space 2} .0153999{col 37}{space 1}    0.05{col 46}{space 3}0.962{col 54}{space 4}-.0294601{col 67}{space 3} .0309271
{txt}{space 5}lrscale {c |}{col 14}{res}{space 2}-.0040729{col 26}{space 2} .0026212{col 37}{space 1}   -1.55{col 46}{space 3}0.120{col 54}{space 4}-.0092122{col 67}{space 3} .0010664
{txt}{space 5}brncntr {c |}{col 14}{res}{space 2}-.0723273{col 26}{space 2} .0183193{col 37}{space 1}   -3.95{col 46}{space 3}0.000{col 54}{space 4}-.1082447{col 67}{space 3}  -.03641
{txt}{space 12} {c |}
{space 5}country {c |}
{space 9}BE  {c |}{col 14}{res}{space 2} .0257826{col 26}{space 2} .0296509{col 37}{space 1}    0.87{col 46}{space 3}0.385{col 54}{space 4}-.0323519{col 67}{space 3} .0839171
{txt}{space 9}CH  {c |}{col 14}{res}{space 2}-.0591298{col 26}{space 2} .0320036{col 37}{space 1}   -1.85{col 46}{space 3}0.065{col 54}{space 4} -.121877{col 67}{space 3} .0036174
{txt}{space 9}DE  {c |}{col 14}{res}{space 2} -.037431{col 26}{space 2} .0265453{col 37}{space 1}   -1.41{col 46}{space 3}0.159{col 54}{space 4}-.0894766{col 67}{space 3} .0146146
{txt}{space 9}DK  {c |}{col 14}{res}{space 2}-.0681215{col 26}{space 2} .0309446{col 37}{space 1}   -2.20{col 46}{space 3}0.028{col 54}{space 4}-.1287924{col 67}{space 3}-.0074506
{txt}{space 9}ES  {c |}{col 14}{res}{space 2}-.0730092{col 26}{space 2}  .030732{col 37}{space 1}   -2.38{col 46}{space 3}0.018{col 54}{space 4}-.1332634{col 67}{space 3} -.012755
{txt}{space 9}FI  {c |}{col 14}{res}{space 2} .0004521{col 26}{space 2} .0295654{col 37}{space 1}    0.02{col 46}{space 3}0.988{col 54}{space 4}-.0575147{col 67}{space 3} .0584189
{txt}{space 9}FR  {c |}{col 14}{res}{space 2} .0603182{col 26}{space 2} .0303542{col 37}{space 1}    1.99{col 46}{space 3}0.047{col 54}{space 4} .0008049{col 67}{space 3} .1198315
{txt}{space 9}GB  {c |}{col 14}{res}{space 2}-.0413214{col 26}{space 2} .0309509{col 37}{space 1}   -1.34{col 46}{space 3}0.182{col 54}{space 4}-.1020046{col 67}{space 3} .0193618
{txt}{space 9}IE  {c |}{col 14}{res}{space 2}-.1401841{col 26}{space 2} .0393468{col 37}{space 1}   -3.56{col 46}{space 3}0.000{col 54}{space 4}-.2173287{col 67}{space 3}-.0630396
{txt}{space 9}NL  {c |}{col 14}{res}{space 2}-.0541967{col 26}{space 2} .0284496{col 37}{space 1}   -1.91{col 46}{space 3}0.057{col 54}{space 4}-.1099759{col 67}{space 3} .0015825
{txt}{space 9}NO  {c |}{col 14}{res}{space 2}-.1230568{col 26}{space 2} .0294867{col 37}{space 1}   -4.17{col 46}{space 3}0.000{col 54}{space 4}-.1808692{col 67}{space 3}-.0652443
{txt}{space 9}PT  {c |}{col 14}{res}{space 2}  .044471{col 26}{space 2}  .038201{col 37}{space 1}    1.16{col 46}{space 3}0.244{col 54}{space 4} -.030427{col 67}{space 3}  .119369
{txt}{space 9}SE  {c |}{col 14}{res}{space 2}-.1441154{col 26}{space 2} .0300381{col 37}{space 1}   -4.80{col 46}{space 3}0.000{col 54}{space 4} -.203009{col 67}{space 3}-.0852219
{txt}{space 12} {c |}
{space 4}iscoco10 {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .0019598{col 26}{space 2} .0201629{col 37}{space 1}    0.10{col 46}{space 3}0.923{col 54}{space 4}-.0375722{col 67}{space 3} .0414917
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.0102444{col 26}{space 2} .0201737{col 37}{space 1}   -0.51{col 46}{space 3}0.612{col 54}{space 4}-.0497976{col 67}{space 3} .0293087
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0435926{col 26}{space 2} .0297447{col 37}{space 1}    1.47{col 46}{space 3}0.143{col 54}{space 4}-.0147258{col 67}{space 3} .1019109
{txt}{space 10}5  {c |}{col 14}{res}{space 2} -.020926{col 26}{space 2} .0255419{col 37}{space 1}   -0.82{col 46}{space 3}0.413{col 54}{space 4}-.0710041{col 67}{space 3} .0291521
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.1005292{col 26}{space 2} .0329263{col 37}{space 1}   -3.05{col 46}{space 3}0.002{col 54}{space 4}-.1650854{col 67}{space 3} -.035973
{txt}{space 10}7  {c |}{col 14}{res}{space 2}-.0087822{col 26}{space 2} .0221076{col 37}{space 1}   -0.40{col 46}{space 3}0.691{col 54}{space 4}-.0521269{col 67}{space 3} .0345626
{txt}{space 10}8  {c |}{col 14}{res}{space 2}-.0065877{col 26}{space 2} .0245892{col 37}{space 1}   -0.27{col 46}{space 3}0.789{col 54}{space 4} -.054798{col 67}{space 3} .0416227
{txt}{space 10}9  {c |}{col 14}{res}{space 2}-.0568595{col 26}{space 2} .0297504{col 37}{space 1}   -1.91{col 46}{space 3}0.056{col 54}{space 4} -.115189{col 67}{space 3}   .00147
{txt}{space 12} {c |}
{space 5}1.rural {c |}{col 14}{res}{space 2} .0174259{col 26}{space 2} .0113754{col 37}{space 1}    1.53{col 46}{space 3}0.126{col 54}{space 4}-.0048771{col 67}{space 3} .0397288
{txt}{space 3}1.married {c |}{col 14}{res}{space 2} .0076597{col 26}{space 2} .0121219{col 37}{space 1}    0.63{col 46}{space 3}0.527{col 54}{space 4}-.0161067{col 67}{space 3} .0314262
{txt}{space 1}above_early {c |}{col 14}{res}{space 2} .0646276{col 26}{space 2} .0274107{col 37}{space 1}    2.36{col 46}{space 3}0.018{col 54}{space 4} .0108853{col 67}{space 3} .1183699
{txt}{space 2}above_full {c |}{col 14}{res}{space 2} .1491645{col 26}{space 2} .0364617{col 37}{space 1}    4.09{col 46}{space 3}0.000{col 54}{space 4} .0776765{col 67}{space 3} .2206525
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 6.485044{col 26}{space 2} .8390463{col 37}{space 1}    7.73{col 46}{space 3}0.000{col 54}{space 4} 4.839985{col 67}{space 3} 8.130103
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{res}
{txt}{col 1}Instrumental variables (2SLS) regression{col 51}Number of obs{col 67}= {res}     3,598
{txt}{col 1}{col 51}Wald chi2({res}31{txt}){col 67}= {res}    398.84
{txt}{col 1}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}{col 1}{col 51}R-squared{col 67}= {res}    0.0940
{txt}{col 51}Root MSE{col 67}=    {res} 2.1043

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}        imbleco{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
pensions_income {c |}{col 17}{res}{space 2}-.3341213{col 29}{space 2} .9486572{col 40}{space 1}   -0.35{col 49}{space 3}0.725{col 57}{space 4}-2.193455{col 70}{space 3} 1.525213
{txt}{space 9}eduyrs {c |}{col 17}{res}{space 2} .0414482{col 29}{space 2} .0108562{col 40}{space 1}    3.82{col 49}{space 3}0.000{col 57}{space 4} .0201705{col 70}{space 3} .0627259
{txt}{space 11}agea {c |}{col 17}{res}{space 2} .0737992{col 29}{space 2} .3858938{col 40}{space 1}    0.19{col 49}{space 3}0.848{col 57}{space 4}-.6825386{col 70}{space 3} .8301371
{txt}{space 5}agesquared {c |}{col 17}{res}{space 2}-.0004606{col 29}{space 2} .0035875{col 40}{space 1}   -0.13{col 49}{space 3}0.898{col 57}{space 4}-.0074919{col 70}{space 3} .0065708
{txt}{space 7}hinctnta {c |}{col 17}{res}{space 2} .0259482{col 29}{space 2} .0279333{col 40}{space 1}    0.93{col 49}{space 3}0.353{col 57}{space 4}   -.0288{col 70}{space 3} .0806964
{txt}{space 5}ever_child {c |}{col 17}{res}{space 2} -.223999{col 29}{space 2} .0986167{col 40}{space 1}   -2.27{col 49}{space 3}0.023{col 57}{space 4}-.4172842{col 70}{space 3}-.0307138
{txt}{space 8}lrscale {c |}{col 17}{res}{space 2}-.1487815{col 29}{space 2} .0188986{col 40}{space 1}   -7.87{col 49}{space 3}0.000{col 57}{space 4}-.1858221{col 70}{space 3} -.111741
{txt}{space 8}brncntr {c |}{col 17}{res}{space 2} .7632655{col 29}{space 2}  .157238{col 40}{space 1}    4.85{col 49}{space 3}0.000{col 57}{space 4} .4550846{col 70}{space 3} 1.071446
{txt}{space 15} {c |}
{space 8}country {c |}
{space 12}BE  {c |}{col 17}{res}{space 2} .5094932{col 29}{space 2} .2172024{col 40}{space 1}    2.35{col 49}{space 3}0.019{col 57}{space 4} .0837843{col 70}{space 3} .9352022
{txt}{space 12}CH  {c |}{col 17}{res}{space 2} .6461471{col 29}{space 2} .2274324{col 40}{space 1}    2.84{col 49}{space 3}0.004{col 57}{space 4} .2003878{col 70}{space 3} 1.091906
{txt}{space 12}DE  {c |}{col 17}{res}{space 2}  1.14825{col 29}{space 2} .1899706{col 40}{space 1}    6.04{col 49}{space 3}0.000{col 57}{space 4}  .775914{col 70}{space 3} 1.520585
{txt}{space 12}DK  {c |}{col 17}{res}{space 2} 1.101402{col 29}{space 2} .2257001{col 40}{space 1}    4.88{col 49}{space 3}0.000{col 57}{space 4} .6590381{col 70}{space 3} 1.543766
{txt}{space 12}ES  {c |}{col 17}{res}{space 2} .2788352{col 29}{space 2} .2309291{col 40}{space 1}    1.21{col 49}{space 3}0.227{col 57}{space 4}-.1737775{col 70}{space 3} .7314478
{txt}{space 12}FI  {c |}{col 17}{res}{space 2} .9359938{col 29}{space 2} .2018062{col 40}{space 1}    4.64{col 49}{space 3}0.000{col 57}{space 4} .5404608{col 70}{space 3} 1.331527
{txt}{space 12}FR  {c |}{col 17}{res}{space 2} .8620863{col 29}{space 2} .2324457{col 40}{space 1}    3.71{col 49}{space 3}0.000{col 57}{space 4} .4065012{col 70}{space 3} 1.317671
{txt}{space 12}GB  {c |}{col 17}{res}{space 2}  .546421{col 29}{space 2} .2210945{col 40}{space 1}    2.47{col 49}{space 3}0.013{col 57}{space 4} .1130839{col 70}{space 3} .9797582
{txt}{space 12}IE  {c |}{col 17}{res}{space 2} .5481214{col 29}{space 2} .2484943{col 40}{space 1}    2.21{col 49}{space 3}0.027{col 57}{space 4} .0610816{col 70}{space 3} 1.035161
{txt}{space 12}NL  {c |}{col 17}{res}{space 2}  .775185{col 29}{space 2} .2027971{col 40}{space 1}    3.82{col 49}{space 3}0.000{col 57}{space 4} .3777101{col 70}{space 3}  1.17266
{txt}{space 12}NO  {c |}{col 17}{res}{space 2} 1.174735{col 29}{space 2} .2353029{col 40}{space 1}    4.99{col 49}{space 3}0.000{col 57}{space 4}   .71355{col 70}{space 3} 1.635921
{txt}{space 12}PT  {c |}{col 17}{res}{space 2} 1.606051{col 29}{space 2} .2653705{col 40}{space 1}    6.05{col 49}{space 3}0.000{col 57}{space 4} 1.085935{col 70}{space 3} 2.126168
{txt}{space 12}SE  {c |}{col 17}{res}{space 2} 1.383639{col 29}{space 2} .2471989{col 40}{space 1}    5.60{col 49}{space 3}0.000{col 57}{space 4} .8991386{col 70}{space 3}  1.86814
{txt}{space 15} {c |}
{space 7}iscoco10 {c |}
{space 13}2  {c |}{col 17}{res}{space 2}-.0091922{col 29}{space 2} .1253421{col 40}{space 1}   -0.07{col 49}{space 3}0.942{col 57}{space 4}-.2548582{col 70}{space 3} .2364737
{txt}{space 13}3  {c |}{col 17}{res}{space 2}-.3810212{col 29}{space 2} .1255136{col 40}{space 1}   -3.04{col 49}{space 3}0.002{col 57}{space 4}-.6270233{col 70}{space 3}-.1350191
{txt}{space 13}4  {c |}{col 17}{res}{space 2}-.1621952{col 29}{space 2} .1855149{col 40}{space 1}   -0.87{col 49}{space 3}0.382{col 57}{space 4}-.5257978{col 70}{space 3} .2014074
{txt}{space 13}5  {c |}{col 17}{res}{space 2}-.4579137{col 29}{space 2} .1671275{col 40}{space 1}   -2.74{col 49}{space 3}0.006{col 57}{space 4}-.7854776{col 70}{space 3}-.1303498
{txt}{space 13}6  {c |}{col 17}{res}{space 2}-.7656147{col 29}{space 2}   .23943{col 40}{space 1}   -3.20{col 49}{space 3}0.001{col 57}{space 4}-1.234889{col 70}{space 3}-.2963405
{txt}{space 13}7  {c |}{col 17}{res}{space 2}-.6396968{col 29}{space 2} .1402845{col 40}{space 1}   -4.56{col 49}{space 3}0.000{col 57}{space 4}-.9146494{col 70}{space 3}-.3647442
{txt}{space 13}8  {c |}{col 17}{res}{space 2} -.620323{col 29}{space 2} .1562481{col 40}{space 1}   -3.97{col 49}{space 3}0.000{col 57}{space 4}-.9265636{col 70}{space 3}-.3140823
{txt}{space 13}9  {c |}{col 17}{res}{space 2}-.6228635{col 29}{space 2} .1937829{col 40}{space 1}   -3.21{col 49}{space 3}0.001{col 57}{space 4}-1.002671{col 70}{space 3}-.2430559
{txt}{space 15} {c |}
{space 8}1.rural {c |}{col 17}{res}{space 2} .0232629{col 29}{space 2}  .075569{col 40}{space 1}    0.31{col 49}{space 3}0.758{col 57}{space 4}-.1248496{col 70}{space 3} .1713754
{txt}{space 6}1.married {c |}{col 17}{res}{space 2} .1083523{col 29}{space 2} .0851151{col 40}{space 1}    1.27{col 49}{space 3}0.203{col 57}{space 4}-.0584703{col 70}{space 3} .2751749
{txt}{space 10}_cons {c |}{col 17}{res}{space 2} .8685497{col 29}{space 2} 10.66775{col 40}{space 1}    0.08{col 49}{space 3}0.935{col 57}{space 4}-20.03986{col 70}{space 3} 21.77696
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 15 23}Instrumented:{space 2}pensions_income{p_end}
{p 0 15 23}Instruments:{space 3}eduyrs agea agesquared hinctnta ever_child lrscale brncntr 2.country 3.country 5.country 6.country 8.country 9.country 10.country 11.country 13.country 16.country 17.country 19.country 20.country 2.iscoco10 3.iscoco10 4.iscoco10 5.iscoco10 6.iscoco10 7.iscoco10 8.iscoco10 9.iscoco10 1.rural 1.married above_early above_full{p_end}

{com}. *robust to controlling for numeracy noimbro

. ivregress 2sls imbgeco (rtrd=above_early above_full) eduyrs agea agesquared hinctnta ever_child lrscale brncntr noimbro i.country i.iscoco10 i.rural i.married, robust 
{res}
{txt}{col 1}Instrumental variables (2SLS) regression{col 51}Number of obs{col 67}= {res}     3,524
{txt}{col 1}{col 51}Wald chi2({res}32{txt}){col 67}= {res}    758.31
{txt}{col 1}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}{col 1}{col 51}R-squared{col 67}= {res}    0.1614
{txt}{col 51}Root MSE{col 67}=    {res} 2.1805

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     imbgeco{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}rtrd {c |}{col 14}{res}{space 2}-.7027146{col 26}{space 2} .6265665{col 37}{space 1}   -1.12{col 46}{space 3}0.262{col 54}{space 4}-1.930762{col 67}{space 3} .5253332
{txt}{space 6}eduyrs {c |}{col 14}{res}{space 2} .0648356{col 26}{space 2}  .011634{col 37}{space 1}    5.57{col 46}{space 3}0.000{col 54}{space 4} .0420334{col 67}{space 3} .0876377
{txt}{space 8}agea {c |}{col 14}{res}{space 2} .0940287{col 26}{space 2} .2818786{col 37}{space 1}    0.33{col 46}{space 3}0.739{col 54}{space 4}-.4584433{col 67}{space 3} .6465007
{txt}{space 2}agesquared {c |}{col 14}{res}{space 2}-.0003755{col 26}{space 2}   .00262{col 37}{space 1}   -0.14{col 46}{space 3}0.886{col 54}{space 4}-.0055105{col 67}{space 3} .0047595
{txt}{space 4}hinctnta {c |}{col 14}{res}{space 2} .0674096{col 26}{space 2} .0194539{col 37}{space 1}    3.47{col 46}{space 3}0.001{col 54}{space 4} .0292806{col 67}{space 3} .1055385
{txt}{space 2}ever_child {c |}{col 14}{res}{space 2} -.099352{col 26}{space 2} .1003886{col 37}{space 1}   -0.99{col 46}{space 3}0.322{col 54}{space 4}  -.29611{col 67}{space 3} .0974061
{txt}{space 5}lrscale {c |}{col 14}{res}{space 2}-.1370032{col 26}{space 2} .0196772{col 37}{space 1}   -6.96{col 46}{space 3}0.000{col 54}{space 4}-.1755697{col 67}{space 3}-.0984366
{txt}{space 5}brncntr {c |}{col 14}{res}{space 2} .6138043{col 26}{space 2} .1584646{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .3032195{col 67}{space 3} .9243892
{txt}{space 5}noimbro {c |}{col 14}{res}{space 2}-.0125772{col 26}{space 2} .0031225{col 37}{space 1}   -4.03{col 46}{space 3}0.000{col 54}{space 4}-.0186971{col 67}{space 3}-.0064572
{txt}{space 12} {c |}
{space 5}country {c |}
{space 9}BE  {c |}{col 14}{res}{space 2}-.4087157{col 26}{space 2} .2260189{col 37}{space 1}   -1.81{col 46}{space 3}0.071{col 54}{space 4}-.8517045{col 67}{space 3} .0342732
{txt}{space 9}CH  {c |}{col 14}{res}{space 2} 1.252688{col 26}{space 2} .2269721{col 37}{space 1}    5.52{col 46}{space 3}0.000{col 54}{space 4} .8078306{col 67}{space 3} 1.697545
{txt}{space 9}DE  {c |}{col 14}{res}{space 2}  .689243{col 26}{space 2} .1992702{col 37}{space 1}    3.46{col 46}{space 3}0.001{col 54}{space 4} .2986807{col 67}{space 3} 1.079805
{txt}{space 9}DK  {c |}{col 14}{res}{space 2} .0136931{col 26}{space 2} .2383908{col 37}{space 1}    0.06{col 46}{space 3}0.954{col 54}{space 4}-.4535442{col 67}{space 3} .4809304
{txt}{space 9}ES  {c |}{col 14}{res}{space 2} .5691209{col 26}{space 2} .2540938{col 37}{space 1}    2.24{col 46}{space 3}0.025{col 54}{space 4} .0711061{col 67}{space 3} 1.067136
{txt}{space 9}FI  {c |}{col 14}{res}{space 2} .3476601{col 26}{space 2} .2148126{col 37}{space 1}    1.62{col 46}{space 3}0.106{col 54}{space 4}-.0733648{col 67}{space 3}  .768685
{txt}{space 9}FR  {c |}{col 14}{res}{space 2}-.1742727{col 26}{space 2} .2314925{col 37}{space 1}   -0.75{col 46}{space 3}0.452{col 54}{space 4}-.6279896{col 67}{space 3} .2794443
{txt}{space 9}GB  {c |}{col 14}{res}{space 2}-.3060312{col 26}{space 2} .2238429{col 37}{space 1}   -1.37{col 46}{space 3}0.172{col 54}{space 4}-.7447553{col 67}{space 3} .1326928
{txt}{space 9}IE  {c |}{col 14}{res}{space 2} .0033664{col 26}{space 2} .2390955{col 37}{space 1}    0.01{col 46}{space 3}0.989{col 54}{space 4}-.4652521{col 67}{space 3} .4719849
{txt}{space 9}NL  {c |}{col 14}{res}{space 2}-.2127305{col 26}{space 2} .2126751{col 37}{space 1}   -1.00{col 46}{space 3}0.317{col 54}{space 4}-.6295662{col 67}{space 3} .2041051
{txt}{space 9}NO  {c |}{col 14}{res}{space 2} .4030663{col 26}{space 2} .2335111{col 37}{space 1}    1.73{col 46}{space 3}0.084{col 54}{space 4} -.054607{col 67}{space 3} .8607397
{txt}{space 9}PT  {c |}{col 14}{res}{space 2} .4150872{col 26}{space 2} .2923191{col 37}{space 1}    1.42{col 46}{space 3}0.156{col 54}{space 4}-.1578477{col 67}{space 3}  .988022
{txt}{space 9}SE  {c |}{col 14}{res}{space 2} .0506107{col 26}{space 2} .2434714{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.4265846{col 67}{space 3} .5278059
{txt}{space 12} {c |}
{space 4}iscoco10 {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0851547{col 26}{space 2} .1254832{col 37}{space 1}   -0.68{col 46}{space 3}0.497{col 54}{space 4}-.3310971{col 67}{space 3} .1607878
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.2976576{col 26}{space 2} .1306107{col 37}{space 1}   -2.28{col 46}{space 3}0.023{col 54}{space 4}-.5536499{col 67}{space 3}-.0416653
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.4555665{col 26}{space 2} .1910634{col 37}{space 1}   -2.38{col 46}{space 3}0.017{col 54}{space 4} -.830044{col 67}{space 3}-.0810891
{txt}{space 10}5  {c |}{col 14}{res}{space 2}-.8581197{col 26}{space 2} .1815169{col 37}{space 1}   -4.73{col 46}{space 3}0.000{col 54}{space 4}-1.213886{col 67}{space 3}-.5023531
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.9845751{col 26}{space 2} .2328084{col 37}{space 1}   -4.23{col 46}{space 3}0.000{col 54}{space 4}-1.440871{col 67}{space 3}-.5282791
{txt}{space 10}7  {c |}{col 14}{res}{space 2}-.9904933{col 26}{space 2} .1450957{col 37}{space 1}   -6.83{col 46}{space 3}0.000{col 54}{space 4}-1.274876{col 67}{space 3}-.7061109
{txt}{space 10}8  {c |}{col 14}{res}{space 2}-1.222047{col 26}{space 2} .1674574{col 37}{space 1}   -7.30{col 46}{space 3}0.000{col 54}{space 4}-1.550258{col 67}{space 3}-.8938369
{txt}{space 10}9  {c |}{col 14}{res}{space 2}-.9403264{col 26}{space 2} .2076916{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-1.347394{col 67}{space 3}-.5332583
{txt}{space 12} {c |}
{space 5}1.rural {c |}{col 14}{res}{space 2}-.1831545{col 26}{space 2} .0789833{col 37}{space 1}   -2.32{col 46}{space 3}0.020{col 54}{space 4}-.3379589{col 67}{space 3}-.0283501
{txt}{space 3}1.married {c |}{col 14}{res}{space 2} .0137129{col 26}{space 2} .0880791{col 37}{space 1}    0.16{col 46}{space 3}0.876{col 54}{space 4}-.1589189{col 67}{space 3} .1863447
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .9298534{col 26}{space 2}  7.73375{col 37}{space 1}    0.12{col 46}{space 3}0.904{col 54}{space 4}-14.22802{col 67}{space 3} 16.08772
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 15 26}Instrumented:{space 2}rtrd{p_end}
{p 0 15 26}Instruments:{space 3}eduyrs agea agesquared hinctnta ever_child lrscale brncntr noimbro 2.country 3.country 5.country 6.country 8.country 9.country 10.country 11.country 13.country 16.country 17.country 19.country 20.country 2.iscoco10 3.iscoco10 4.iscoco10 5.iscoco10 6.iscoco10 7.iscoco10 8.iscoco10 9.iscoco10 1.rural 1.married above_early above_full{p_end}

{com}. ivregress 2sls imtcjob (rtrd=above_early above_full) eduyrs agea agesquared hinctnta ever_child lrscale brncntr noimbro i.country i.iscoco10 i.rural i.married, robust 
{res}
{txt}{col 1}Instrumental variables (2SLS) regression{col 51}Number of obs{col 67}= {res}     3,514
{txt}{col 1}{col 51}Wald chi2({res}32{txt}){col 67}= {res}    507.14
{txt}{col 1}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}{col 1}{col 51}R-squared{col 67}= {res}    0.1287
{txt}{col 51}Root MSE{col 67}=    {res} 2.0283

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     imtcjob{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}rtrd {c |}{col 14}{res}{space 2}-.3978429{col 26}{space 2}  .623511{col 37}{space 1}   -0.64{col 46}{space 3}0.523{col 54}{space 4}-1.619902{col 67}{space 3} .8242162
{txt}{space 6}eduyrs {c |}{col 14}{res}{space 2} .0451445{col 26}{space 2} .0106229{col 37}{space 1}    4.25{col 46}{space 3}0.000{col 54}{space 4}  .024324{col 67}{space 3} .0659651
{txt}{space 8}agea {c |}{col 14}{res}{space 2} .0004215{col 26}{space 2} .2733517{col 37}{space 1}    0.00{col 46}{space 3}0.999{col 54}{space 4} -.535338{col 67}{space 3}  .536181
{txt}{space 2}agesquared {c |}{col 14}{res}{space 2} .0001865{col 26}{space 2} .0025497{col 37}{space 1}    0.07{col 46}{space 3}0.942{col 54}{space 4}-.0048108{col 67}{space 3} .0051839
{txt}{space 4}hinctnta {c |}{col 14}{res}{space 2}   .03369{col 26}{space 2} .0183255{col 37}{space 1}    1.84{col 46}{space 3}0.066{col 54}{space 4}-.0022274{col 67}{space 3} .0696074
{txt}{space 2}ever_child {c |}{col 14}{res}{space 2} .0023935{col 26}{space 2} .0969458{col 37}{space 1}    0.02{col 46}{space 3}0.980{col 54}{space 4}-.1876168{col 67}{space 3} .1924038
{txt}{space 5}lrscale {c |}{col 14}{res}{space 2}-.0395535{col 26}{space 2} .0182867{col 37}{space 1}   -2.16{col 46}{space 3}0.031{col 54}{space 4}-.0753949{col 67}{space 3}-.0037122
{txt}{space 5}brncntr {c |}{col 14}{res}{space 2} .5823965{col 26}{space 2} .1491413{col 37}{space 1}    3.90{col 46}{space 3}0.000{col 54}{space 4} .2900849{col 67}{space 3}  .874708
{txt}{space 5}noimbro {c |}{col 14}{res}{space 2}-.0100177{col 26}{space 2} .0029241{col 37}{space 1}   -3.43{col 46}{space 3}0.001{col 54}{space 4}-.0157489{col 67}{space 3}-.0042865
{txt}{space 12} {c |}
{space 5}country {c |}
{space 9}BE  {c |}{col 14}{res}{space 2} .0892534{col 26}{space 2} .2157412{col 37}{space 1}    0.41{col 46}{space 3}0.679{col 54}{space 4}-.3335915{col 67}{space 3} .5120983
{txt}{space 9}CH  {c |}{col 14}{res}{space 2} .9954319{col 26}{space 2}  .216456{col 37}{space 1}    4.60{col 46}{space 3}0.000{col 54}{space 4}  .571186{col 67}{space 3} 1.419678
{txt}{space 9}DE  {c |}{col 14}{res}{space 2} 1.117078{col 26}{space 2} .1870595{col 37}{space 1}    5.97{col 46}{space 3}0.000{col 54}{space 4} .7504483{col 67}{space 3} 1.483708
{txt}{space 9}DK  {c |}{col 14}{res}{space 2} .7866289{col 26}{space 2} .2144029{col 37}{space 1}    3.67{col 46}{space 3}0.000{col 54}{space 4}  .366407{col 67}{space 3} 1.206851
{txt}{space 9}ES  {c |}{col 14}{res}{space 2} .2343228{col 26}{space 2} .2518186{col 37}{space 1}    0.93{col 46}{space 3}0.352{col 54}{space 4}-.2592326{col 67}{space 3} .7278781
{txt}{space 9}FI  {c |}{col 14}{res}{space 2} .9693621{col 26}{space 2}  .200802{col 37}{space 1}    4.83{col 46}{space 3}0.000{col 54}{space 4} .5757974{col 67}{space 3} 1.362927
{txt}{space 9}FR  {c |}{col 14}{res}{space 2} .5758929{col 26}{space 2} .2306121{col 37}{space 1}    2.50{col 46}{space 3}0.013{col 54}{space 4} .1239015{col 67}{space 3} 1.027884
{txt}{space 9}GB  {c |}{col 14}{res}{space 2} .1848264{col 26}{space 2} .2155124{col 37}{space 1}    0.86{col 46}{space 3}0.391{col 54}{space 4}-.2375702{col 67}{space 3} .6072229
{txt}{space 9}IE  {c |}{col 14}{res}{space 2} -.029019{col 26}{space 2}  .223704{col 37}{space 1}   -0.13{col 46}{space 3}0.897{col 54}{space 4}-.4674708{col 67}{space 3} .4094328
{txt}{space 9}NL  {c |}{col 14}{res}{space 2} .3411256{col 26}{space 2} .1978867{col 37}{space 1}    1.72{col 46}{space 3}0.085{col 54}{space 4}-.0467253{col 67}{space 3} .7289765
{txt}{space 9}NO  {c |}{col 14}{res}{space 2} 1.376585{col 26}{space 2} .2195148{col 37}{space 1}    6.27{col 46}{space 3}0.000{col 54}{space 4} .9463443{col 67}{space 3} 1.806826
{txt}{space 9}PT  {c |}{col 14}{res}{space 2} .8456714{col 26}{space 2} .2808072{col 37}{space 1}    3.01{col 46}{space 3}0.003{col 54}{space 4} .2952994{col 67}{space 3} 1.396044
{txt}{space 9}SE  {c |}{col 14}{res}{space 2} 1.536343{col 26}{space 2} .2223384{col 37}{space 1}    6.91{col 46}{space 3}0.000{col 54}{space 4} 1.100567{col 67}{space 3} 1.972118
{txt}{space 12} {c |}
{space 4}iscoco10 {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0755982{col 26}{space 2}  .111549{col 37}{space 1}   -0.68{col 46}{space 3}0.498{col 54}{space 4}-.2942302{col 67}{space 3} .1430338
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.2381352{col 26}{space 2} .1185801{col 37}{space 1}   -2.01{col 46}{space 3}0.045{col 54}{space 4}-.4705478{col 67}{space 3}-.0057225
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.1861642{col 26}{space 2} .1633842{col 37}{space 1}   -1.14{col 46}{space 3}0.255{col 54}{space 4}-.5063913{col 67}{space 3}  .134063
{txt}{space 10}5  {c |}{col 14}{res}{space 2}-.5928052{col 26}{space 2} .1619398{col 37}{space 1}   -3.66{col 46}{space 3}0.000{col 54}{space 4}-.9102015{col 67}{space 3} -.275409
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.7775149{col 26}{space 2} .2438007{col 37}{space 1}   -3.19{col 46}{space 3}0.001{col 54}{space 4}-1.255356{col 67}{space 3}-.2996742
{txt}{space 10}7  {c |}{col 14}{res}{space 2}-.6602613{col 26}{space 2} .1357959{col 37}{space 1}   -4.86{col 46}{space 3}0.000{col 54}{space 4}-.9264163{col 67}{space 3}-.3941063
{txt}{space 10}8  {c |}{col 14}{res}{space 2}-.7145877{col 26}{space 2} .1543594{col 37}{space 1}   -4.63{col 46}{space 3}0.000{col 54}{space 4}-1.017127{col 67}{space 3}-.4120489
{txt}{space 10}9  {c |}{col 14}{res}{space 2}-.8240578{col 26}{space 2} .1926619{col 37}{space 1}   -4.28{col 46}{space 3}0.000{col 54}{space 4}-1.201668{col 67}{space 3}-.4464474
{txt}{space 12} {c |}
{space 5}1.rural {c |}{col 14}{res}{space 2}-.1377052{col 26}{space 2} .0755361{col 37}{space 1}   -1.82{col 46}{space 3}0.068{col 54}{space 4}-.2857532{col 67}{space 3} .0103428
{txt}{space 3}1.married {c |}{col 14}{res}{space 2}-.0175344{col 26}{space 2} .0833157{col 37}{space 1}   -0.21{col 46}{space 3}0.833{col 54}{space 4}-.1808302{col 67}{space 3} .1457614
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}  3.41894{col 26}{space 2} 7.462147{col 37}{space 1}    0.46{col 46}{space 3}0.647{col 54}{space 4} -11.2066{col 67}{space 3} 18.04448
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 15 26}Instrumented:{space 2}rtrd{p_end}
{p 0 15 26}Instruments:{space 3}eduyrs agea agesquared hinctnta ever_child lrscale brncntr noimbro 2.country 3.country 5.country 6.country 8.country 9.country 10.country 11.country 13.country 16.country 17.country 19.country 20.country 2.iscoco10 3.iscoco10 4.iscoco10 5.iscoco10 6.iscoco10 7.iscoco10 8.iscoco10 9.iscoco10 1.rural 1.married above_early above_full{p_end}

{com}. ivregress 2sls imbleco (rtrd=above_early above_full) eduyrs agea agesquared hinctnta ever_child lrscale brncntr noimbro i.country i.iscoco10 i.rural i.married, robust 
{res}
{txt}{col 1}Instrumental variables (2SLS) regression{col 51}Number of obs{col 67}= {res}     3,508
{txt}{col 1}{col 51}Wald chi2({res}32{txt}){col 67}= {res}    420.16
{txt}{col 1}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}{col 1}{col 51}R-squared{col 67}= {res}    0.1028
{txt}{col 51}Root MSE{col 67}=    {res} 2.0955

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     imbleco{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}rtrd {c |}{col 14}{res}{space 2}-.4303284{col 26}{space 2} .6292136{col 37}{space 1}   -0.68{col 46}{space 3}0.494{col 54}{space 4}-1.663564{col 67}{space 3} .8029076
{txt}{space 6}eduyrs {c |}{col 14}{res}{space 2} .0382232{col 26}{space 2} .0110059{col 37}{space 1}    3.47{col 46}{space 3}0.001{col 54}{space 4} .0166519{col 67}{space 3} .0597944
{txt}{space 8}agea {c |}{col 14}{res}{space 2} .0766676{col 26}{space 2} .2777156{col 37}{space 1}    0.28{col 46}{space 3}0.782{col 54}{space 4}-.4676449{col 67}{space 3} .6209801
{txt}{space 2}agesquared {c |}{col 14}{res}{space 2}-.0004106{col 26}{space 2} .0025882{col 37}{space 1}   -0.16{col 46}{space 3}0.874{col 54}{space 4}-.0054833{col 67}{space 3} .0046621
{txt}{space 4}hinctnta {c |}{col 14}{res}{space 2} .0280424{col 26}{space 2} .0186913{col 37}{space 1}    1.50{col 46}{space 3}0.134{col 54}{space 4}-.0085919{col 67}{space 3} .0646767
{txt}{space 2}ever_child {c |}{col 14}{res}{space 2}-.2449639{col 26}{space 2} .0995063{col 37}{space 1}   -2.46{col 46}{space 3}0.014{col 54}{space 4}-.4399928{col 67}{space 3}-.0499351
{txt}{space 5}lrscale {c |}{col 14}{res}{space 2}-.1522094{col 26}{space 2}  .018679{col 37}{space 1}   -8.15{col 46}{space 3}0.000{col 54}{space 4}-.1888196{col 67}{space 3}-.1155992
{txt}{space 5}brncntr {c |}{col 14}{res}{space 2} .7515653{col 26}{space 2} .1510144{col 37}{space 1}    4.98{col 46}{space 3}0.000{col 54}{space 4} .4555826{col 67}{space 3} 1.047548
{txt}{space 5}noimbro {c |}{col 14}{res}{space 2}-.0133764{col 26}{space 2} .0029638{col 37}{space 1}   -4.51{col 46}{space 3}0.000{col 54}{space 4}-.0191854{col 67}{space 3}-.0075674
{txt}{space 12} {c |}
{space 5}country {c |}
{space 9}BE  {c |}{col 14}{res}{space 2} .5374192{col 26}{space 2} .2152569{col 37}{space 1}    2.50{col 46}{space 3}0.013{col 54}{space 4} .1155234{col 67}{space 3} .9593149
{txt}{space 9}CH  {c |}{col 14}{res}{space 2} .7066551{col 26}{space 2} .2264366{col 37}{space 1}    3.12{col 46}{space 3}0.002{col 54}{space 4} .2628476{col 67}{space 3} 1.150463
{txt}{space 9}DE  {c |}{col 14}{res}{space 2} 1.110643{col 26}{space 2} .1880329{col 37}{space 1}    5.91{col 46}{space 3}0.000{col 54}{space 4} .7421056{col 67}{space 3} 1.479181
{txt}{space 9}DK  {c |}{col 14}{res}{space 2} .9073721{col 26}{space 2}  .223363{col 37}{space 1}    4.06{col 46}{space 3}0.000{col 54}{space 4} .4695887{col 67}{space 3} 1.345156
{txt}{space 9}ES  {c |}{col 14}{res}{space 2} .1784532{col 26}{space 2} .2337054{col 37}{space 1}    0.76{col 46}{space 3}0.445{col 54}{space 4}-.2796011{col 67}{space 3} .6365074
{txt}{space 9}FI  {c |}{col 14}{res}{space 2} .7403362{col 26}{space 2} .2079265{col 37}{space 1}    3.56{col 46}{space 3}0.000{col 54}{space 4} .3328077{col 67}{space 3} 1.147865
{txt}{space 9}FR  {c |}{col 14}{res}{space 2}  .806602{col 26}{space 2} .2292483{col 37}{space 1}    3.52{col 46}{space 3}0.000{col 54}{space 4} .3572835{col 67}{space 3}  1.25592
{txt}{space 9}GB  {c |}{col 14}{res}{space 2} .4914358{col 26}{space 2} .2179288{col 37}{space 1}    2.26{col 46}{space 3}0.024{col 54}{space 4} .0643032{col 67}{space 3} .9185685
{txt}{space 9}IE  {c |}{col 14}{res}{space 2} .4701465{col 26}{space 2} .2324615{col 37}{space 1}    2.02{col 46}{space 3}0.043{col 54}{space 4} .0145304{col 67}{space 3} .9257627
{txt}{space 9}NL  {c |}{col 14}{res}{space 2} .7371055{col 26}{space 2} .1989004{col 37}{space 1}    3.71{col 46}{space 3}0.000{col 54}{space 4} .3472679{col 67}{space 3} 1.126943
{txt}{space 9}NO  {c |}{col 14}{res}{space 2} 1.050875{col 26}{space 2} .2240392{col 37}{space 1}    4.69{col 46}{space 3}0.000{col 54}{space 4} .6117665{col 67}{space 3} 1.489984
{txt}{space 9}PT  {c |}{col 14}{res}{space 2} 1.471257{col 26}{space 2} .2665146{col 37}{space 1}    5.52{col 46}{space 3}0.000{col 54}{space 4} .9488978{col 67}{space 3} 1.993616
{txt}{space 9}SE  {c |}{col 14}{res}{space 2} 1.281944{col 26}{space 2} .2320451{col 37}{space 1}    5.52{col 46}{space 3}0.000{col 54}{space 4} .8271437{col 67}{space 3} 1.736744
{txt}{space 12} {c |}
{space 4}iscoco10 {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0175274{col 26}{space 2}   .12602{col 37}{space 1}   -0.14{col 46}{space 3}0.889{col 54}{space 4} -.264522{col 67}{space 3} .2294672
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.4100553{col 26}{space 2} .1254786{col 37}{space 1}   -3.27{col 46}{space 3}0.001{col 54}{space 4}-.6559889{col 67}{space 3}-.1641218
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.1472027{col 26}{space 2} .1836198{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.5070909{col 67}{space 3} .2126854
{txt}{space 10}5  {c |}{col 14}{res}{space 2}-.4130646{col 26}{space 2}  .166312{col 37}{space 1}   -2.48{col 46}{space 3}0.013{col 54}{space 4}-.7390301{col 67}{space 3}-.0870991
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.8105643{col 26}{space 2} .2443824{col 37}{space 1}   -3.32{col 46}{space 3}0.001{col 54}{space 4}-1.289545{col 67}{space 3}-.3315836
{txt}{space 10}7  {c |}{col 14}{res}{space 2}-.6059134{col 26}{space 2} .1408074{col 37}{space 1}   -4.30{col 46}{space 3}0.000{col 54}{space 4}-.8818908{col 67}{space 3} -.329936
{txt}{space 10}8  {c |}{col 14}{res}{space 2} -.554087{col 26}{space 2} .1581788{col 37}{space 1}   -3.50{col 46}{space 3}0.000{col 54}{space 4}-.8641118{col 67}{space 3}-.2440622
{txt}{space 10}9  {c |}{col 14}{res}{space 2}-.5917654{col 26}{space 2}   .19354{col 37}{space 1}   -3.06{col 46}{space 3}0.002{col 54}{space 4}-.9710968{col 67}{space 3}-.2124341
{txt}{space 12} {c |}
{space 5}1.rural {c |}{col 14}{res}{space 2}  .003903{col 26}{space 2} .0761605{col 37}{space 1}    0.05{col 46}{space 3}0.959{col 54}{space 4}-.1453687{col 67}{space 3} .1531748
{txt}{space 3}1.married {c |}{col 14}{res}{space 2}  .143396{col 26}{space 2}  .087651{col 37}{space 1}    1.64{col 46}{space 3}0.102{col 54}{space 4}-.0283968{col 67}{space 3} .3151888
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .9155521{col 26}{space 2} 7.596099{col 37}{space 1}    0.12{col 46}{space 3}0.904{col 54}{space 4}-13.97253{col 67}{space 3} 15.80363
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 15 26}Instrumented:{space 2}rtrd{p_end}
{p 0 15 26}Instruments:{space 3}eduyrs agea agesquared hinctnta ever_child lrscale brncntr noimbro 2.country 3.country 5.country 6.country 8.country 9.country 10.country 11.country 13.country 16.country 17.country 19.country 20.country 2.iscoco10 3.iscoco10 4.iscoco10 5.iscoco10 6.iscoco10 7.iscoco10 8.iscoco10 9.iscoco10 1.rural 1.married above_early above_full{p_end}

{com}. log close
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}/Users/amjeannet/dropbox/My Work in Progress I/ATIAS/retirement discontinuity/Research & Politics Submission/RR1/log_RRI.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res}25 Apr 2018, 21:30:19
{txt}{.-}
{smcl}
{txt}{sf}{ul off}